�ݺ�ߣshows by User: IJwest

�ݺ�ߣshows by User: IJwest / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: IJwest / Wed, 13 Nov 2024 10:42:48 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: IJwest NLP APPLICATIONS IN VOCABULARY ACQUISITION /slideshow/nlp-applications-in-vocabulary-acquisition/273270297 15424ijwest01-241113104248-0641cdb0
This paper examines the transformative role of Natural Language Processing (NLP) in vocabulary acquisition for English as a Second Language (ESL) learners. With advancements in NLP technologies, innovative applications have emerged that foster effective vocabulary learning through personalized and context-rich experiences. The study explores various NLP-driven tools, such as context-aware learning systems, personalized vocabulary lists, and interactive games, that enhance engagement and retention. By analyzing the effectiveness of these tools, this research underscores the limitations of traditional vocabulary teaching methods and illustrates how NLP can provide dynamic, tailored support to meet individual learners’ needs. Furthermore, the paper highlights the significance of real-time feedback mechanisms, such as speech recognition, in promoting accurate pronunciation. Ultimately, this investigation aims to demonstrate that NLP technologies offer a more engaging, efficient, and effective approach to vocabulary acquisition, significantly improving ESL learners’ language proficiency and overall communicative competence. ]]>
This paper examines the transformative role of Natural Language Processing (NLP) in vocabulary acquisition for English as a Second Language (ESL) learners. With advancements in NLP technologies, innovative applications have emerged that foster effective vocabulary learning through personalized and context-rich experiences. The study explores various NLP-driven tools, such as context-aware learning systems, personalized vocabulary lists, and interactive games, that enhance engagement and retention. By analyzing the effectiveness of these tools, this research underscores the limitations of traditional vocabulary teaching methods and illustrates how NLP can provide dynamic, tailored support to meet individual learners’ needs. Furthermore, the paper highlights the significance of real-time feedback mechanisms, such as speech recognition, in promoting accurate pronunciation. Ultimately, this investigation aims to demonstrate that NLP technologies offer a more engaging, efficient, and effective approach to vocabulary acquisition, significantly improving ESL learners’ language proficiency and overall communicative competence. ]]> Wed, 13 Nov 2024 10:42:48 GMT /slideshow/nlp-applications-in-vocabulary-acquisition/273270297 IJwest@slideshare.net(IJwest) NLP APPLICATIONS IN VOCABULARY ACQUISITION IJwest This paper examines the transformative role of Natural Language Processing (NLP) in vocabulary acquisition for English as a Second Language (ESL) learners. With advancements in NLP technologies, innovative applications have emerged that foster effective vocabulary learning through personalized and context-rich experiences. The study explores various NLP-driven tools, such as context-aware learning systems, personalized vocabulary lists, and interactive games, that enhance engagement and retention. By analyzing the effectiveness of these tools, this research underscores the limitations of traditional vocabulary teaching methods and illustrates how NLP can provide dynamic, tailored support to meet individual learners’ needs. Furthermore, the paper highlights the significance of real-time feedback mechanisms, such as speech recognition, in promoting accurate pronunciation. Ultimately, this investigation aims to demonstrate that NLP technologies offer a more engaging, efficient, and effective approach to vocabulary acquisition, significantly improving ESL learners’ language proficiency and overall communicative competence. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/15424ijwest01-241113104248-0641cdb0-thumbnail.jpg?width=120&height=120&fit=bounds" /> This paper examines the transformative role of Natural Language Processing (NLP) in vocabulary acquisition for English as a Second Language (ESL) learners. With advancements in NLP technologies, innovative applications have emerged that foster effective vocabulary learning through personalized and context-rich experiences. The study explores various NLP-driven tools, such as context-aware learning systems, personalized vocabulary lists, and interactive games, that enhance engagement and retention. By analyzing the effectiveness of these tools, this research underscores the limitations of traditional vocabulary teaching methods and illustrates how NLP can provide dynamic, tailored support to meet individual learners’ needs. Furthermore, the paper highlights the significance of real-time feedback mechanisms, such as speech recognition, in promoting accurate pronunciation. Ultimately, this investigation aims to demonstrate that NLP technologies offer a more engaging, efficient, and effective approach to vocabulary acquisition, significantly improving ESL learners’ language proficiency and overall communicative competence.

NLP APPLICATIONS IN VOCABULARY ACQUISITION from IJwest

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0 A statistical model for morphology inspired by the Amis language /slideshow/a-statistical-model-for-morphology-inspired-by-the-amis-language-251758605/251758605 13222ijwest01-220511070456-728bc55d
We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar.]]>
We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar.]]> Wed, 11 May 2022 07:04:56 GMT /slideshow/a-statistical-model-for-morphology-inspired-by-the-amis-language-251758605/251758605 IJwest@slideshare.net(IJwest) A statistical model for morphology inspired by the Amis language IJwest We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/13222ijwest01-220511070456-728bc55d-thumbnail.jpg?width=120&height=120&fit=bounds" /> We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar.

A statistical model for morphology inspired by the Amis language from IJwest

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0 AN INTERSEMIOTIC TRANSLATION OF NORMATIVE UTTERANCES TO MACHINE LANGUAGE /slideshow/an-intersemiotic-translation-of-normative-utterances-to-machine-language-251174856/251174856 13122ijwest01-220215061502
Programming Languages (PL) effectively performs an intersemiotic translation from a natural language to machine language. PL comprises a set of instructions to implement algorithms, i.e., to perform (computational) tasks. Similarly to Normative Languages (NoL), PLs are formal languages that can perform both regulative and constitutive functions. The paper presents the first results of interdisciplinary research aimed at highlighting the similarities between NoL (social sciences) and PL (computer science) through everyday life examples, exploiting Object-Oriented Programming Language tools and an Internet of Things (IoT) system as a case study. Given the pandemic emergency, the urge to move part of our social life to the digital world arose, together with the need to effectively transpose regulative rules and constitutive rules through different strategies for translating a normative utterance expressed in natural language. ]]>
Programming Languages (PL) effectively performs an intersemiotic translation from a natural language to machine language. PL comprises a set of instructions to implement algorithms, i.e., to perform (computational) tasks. Similarly to Normative Languages (NoL), PLs are formal languages that can perform both regulative and constitutive functions. The paper presents the first results of interdisciplinary research aimed at highlighting the similarities between NoL (social sciences) and PL (computer science) through everyday life examples, exploiting Object-Oriented Programming Language tools and an Internet of Things (IoT) system as a case study. Given the pandemic emergency, the urge to move part of our social life to the digital world arose, together with the need to effectively transpose regulative rules and constitutive rules through different strategies for translating a normative utterance expressed in natural language. ]]> Tue, 15 Feb 2022 06:15:02 GMT /slideshow/an-intersemiotic-translation-of-normative-utterances-to-machine-language-251174856/251174856 IJwest@slideshare.net(IJwest) AN INTERSEMIOTIC TRANSLATION OF NORMATIVE UTTERANCES TO MACHINE LANGUAGE IJwest Programming Languages (PL) effectively performs an intersemiotic translation from a natural language to machine language. PL comprises a set of instructions to implement algorithms, i.e., to perform (computational) tasks. Similarly to Normative Languages (NoL), PLs are formal languages that can perform both regulative and constitutive functions. The paper presents the first results of interdisciplinary research aimed at highlighting the similarities between NoL (social sciences) and PL (computer science) through everyday life examples, exploiting Object-Oriented Programming Language tools and an Internet of Things (IoT) system as a case study. Given the pandemic emergency, the urge to move part of our social life to the digital world arose, together with the need to effectively transpose regulative rules and constitutive rules through different strategies for translating a normative utterance expressed in natural language. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/13122ijwest01-220215061502-thumbnail.jpg?width=120&height=120&fit=bounds" /> Programming Languages (PL) effectively performs an intersemiotic translation from a natural language to machine language. PL comprises a set of instructions to implement algorithms, i.e., to perform (computational) tasks. Similarly to Normative Languages (NoL), PLs are formal languages that can perform both regulative and constitutive functions. The paper presents the first results of interdisciplinary research aimed at highlighting the similarities between NoL (social sciences) and PL (computer science) through everyday life examples, exploiting Object-Oriented Programming Language tools and an Internet of Things (IoT) system as a case study. Given the pandemic emergency, the urge to move part of our social life to the digital world arose, together with the need to effectively transpose regulative rules and constitutive rules through different strategies for translating a normative utterance expressed in natural language.

AN INTERSEMIOTIC TRANSLATION OF NORMATIVE UTTERANCES TO MACHINE LANGUAGE from IJwest

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0 A SELF-SUPERVISED TIBETAN-CHINESE VOCABULARY ALIGNMENT METHOD /slideshow/a-selfsupervised-tibetanchinese-vocabulary-alignment-method-250689802/250689802 12421ijwest02-211120072105
Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved selfsupervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. The seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy.]]>
Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved selfsupervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. The seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy.]]> Sat, 20 Nov 2021 07:21:04 GMT /slideshow/a-selfsupervised-tibetanchinese-vocabulary-alignment-method-250689802/250689802 IJwest@slideshare.net(IJwest) A SELF-SUPERVISED TIBETAN-CHINESE VOCABULARY ALIGNMENT METHOD IJwest Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved selfsupervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. The seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12421ijwest02-211120072105-thumbnail.jpg?width=120&height=120&fit=bounds" /> Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved selfsupervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. The seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy.

A SELF-SUPERVISED TIBETAN-CHINESE VOCABULARY ALIGNMENT METHOD from IJwest

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0 POLITICAL OPINION ANALYSIS IN SOCIAL NETWORKS: CASE OF TWITTER AND FACEBOOK /slideshow/political-opinion-analysis-in-social-networks-case-of-twitter-and-facebook-250689793/250689793 12421ijwest01-211120071922
The 21st century has been characterized by an increased attention to social networks. Nowadays, going 24 hours without getting in touch with them in some way has become difficult. Facebook and Twitter, these social platforms are now part of everyday life. Thus, these social networks have become important sources to be aware of frequently discussed topics or public opinions on a current issue. A lot of people write messages about current events, give their opinion on any topic and discuss social issues more and more.]]>
The 21st century has been characterized by an increased attention to social networks. Nowadays, going 24 hours without getting in touch with them in some way has become difficult. Facebook and Twitter, these social platforms are now part of everyday life. Thus, these social networks have become important sources to be aware of frequently discussed topics or public opinions on a current issue. A lot of people write messages about current events, give their opinion on any topic and discuss social issues more and more.]]> Sat, 20 Nov 2021 07:19:22 GMT /slideshow/political-opinion-analysis-in-social-networks-case-of-twitter-and-facebook-250689793/250689793 IJwest@slideshare.net(IJwest) POLITICAL OPINION ANALYSIS IN SOCIAL NETWORKS: CASE OF TWITTER AND FACEBOOK IJwest The 21st century has been characterized by an increased attention to social networks. Nowadays, going 24 hours without getting in touch with them in some way has become difficult. Facebook and Twitter, these social platforms are now part of everyday life. Thus, these social networks have become important sources to be aware of frequently discussed topics or public opinions on a current issue. A lot of people write messages about current events, give their opinion on any topic and discuss social issues more and more. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12421ijwest01-211120071922-thumbnail.jpg?width=120&height=120&fit=bounds" /> The 21st century has been characterized by an increased attention to social networks. Nowadays, going 24 hours without getting in touch with them in some way has become difficult. Facebook and Twitter, these social platforms are now part of everyday life. Thus, these social networks have become important sources to be aware of frequently discussed topics or public opinions on a current issue. A lot of people write messages about current events, give their opinion on any topic and discuss social issues more and more.

POLITICAL OPINION ANALYSIS IN SOCIAL NETWORKS: CASE OF TWITTER AND FACEBOOK from IJwest

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0 A FRAMEWORK FOR BUILDING A MULTILINGUAL INDUSTRIAL ONTOLOGY: METHODOLOGY AND A CASE STUDY FOR BUILDING SMARTPHONE ENGLISH-ARABIC ONTOLOGY /slideshow/a-framework-for-building-a-multilingual-industrial-ontology-methodology-and-a-case-study-for-building-smartphone-englisharabic-ontology-249968054/249968054 12321ijwest02-210812101247
As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented. ]]>
As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented. ]]> Thu, 12 Aug 2021 10:12:46 GMT /slideshow/a-framework-for-building-a-multilingual-industrial-ontology-methodology-and-a-case-study-for-building-smartphone-englisharabic-ontology-249968054/249968054 IJwest@slideshare.net(IJwest) A FRAMEWORK FOR BUILDING A MULTILINGUAL INDUSTRIAL ONTOLOGY: METHODOLOGY AND A CASE STUDY FOR BUILDING SMARTPHONE ENGLISH-ARABIC ONTOLOGY IJwest As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12321ijwest02-210812101247-thumbnail.jpg?width=120&height=120&fit=bounds" /> As Web 3.0 is blooming, ontologies augment semantic Web with semi–structured knowledge. Industrial ontologies can help in improving online commercial communication and marketing. In addition, conceptualizing the enterprise knowledge can improve information retrieval for industrial applications. Having ontologies combine multiple languages can help in delivering the knowledge to a broad sector of Internet users. In addition, multi-lingual ontologies can also help in commercial transactions. This research paper provides a framework model for building industrial multilingual ontologies which include Corpus Determination, Filtering, Analysis, Ontology Building, and Ontology Evaluation. It also addresses factors to be considered when modeling multilingual ontologies. A case study for building a bilingual English-Arabic ontology for smart phones is presented. The ontology was illustrated using an ontology editor and visualization tool. The built ontology consists of 67 classes and 18 instances presented in both Arabic and English. In addition, applications for using the ontology are presented. Future research directions for the built industrial ontology are presented.

A FRAMEWORK FOR BUILDING A MULTILINGUAL INDUSTRIAL ONTOLOGY: METHODOLOGY AND A CASE STUDY FOR BUILDING SMARTPHONE ENGLISH-ARABIC ONTOLOGY from IJwest

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0 ONTOLOGY SERVICE CENTER: A DATAHUB FOR ONTOLOGY APPLICATION /slideshow/ontology-service-center-a-datahub-for-ontology-application-249968050/249968050 12321ijwest01-210812101212
With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology.]]>
With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology.]]> Thu, 12 Aug 2021 10:12:12 GMT /slideshow/ontology-service-center-a-datahub-for-ontology-application-249968050/249968050 IJwest@slideshare.net(IJwest) ONTOLOGY SERVICE CENTER: A DATAHUB FOR ONTOLOGY APPLICATION IJwest With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12321ijwest01-210812101212-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the growth of data-oriented research in humanities, a large number of research datasets have been created and published through web services. However, how to discover, integrate and reuse these distributed heterogeneous research datasets is a challenging task. Ontology is the soul between series digital humanities resources, which provides a good way for people to discover and understand these datasets. With the release of more and more linked open data and knowledge bases, a large number of ontologies have been produced at the same time. These ontologies have different publishing formats, consumption patterns, and interactions ways, which are not conductive to the user’s understanding of the datasets and the reuse of the ontologies. The Ontology Service Center platform consists of Ontology Query Center and Ontology Validation Center, mainly using linked data and ontology-based technologies. The Ontology Query Center realizes the functions of ontology publishing, querying, data interaction and online browsing, while the Ontology Validation Center can verify the status of using certain ontologies in the linked datasets. The empirical part of the paper uses the Confucius portrait as an example of how OSC can be used in the semantic annotation of images. In a word, the purpose of this paper is to construct the applied ecology of ontology to promote the development of knowledge graphs and the spread of ontology.

ONTOLOGY SERVICE CENTER: A DATAHUB FOR ONTOLOGY APPLICATION from IJwest

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0 EVALUATION OF SINGLE-SPAN MODELS ON EXTRACTIVE MULTI-SPAN QUESTION-ANSWERING /slideshow/evaluation-of-singlespan-models-on-extractive-multispan-questionanswering-242907504/242907504 12121ijwest02-210217140741
Machine Reading Comprehension (MRC), particularly extractive close-domain question-answering, is a prominent field in Natural Language Processing (NLP). Given a question and a passage or set of passages, a machine must be able to extract the appropriate answer from the passage(s). However, the majority of these existing questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehension abilities. Runtime of base models on the entire dataset is approximately one day while the runtime for all models on a third of the dataset is a little over two days. Among the three of BERT-based models we ran, RoBERTa exhibits the highest consistent performance, regardless of size. We find that all our models perform similarly on this new, multi-span dataset compared to the single-span source datasets. While the models tested on the source datasets were slightly fine-tuned in order to return multiple answers, performance is similar enough to judge that task formulation does not drastically affect question-answering abilities. Our evaluations indicate that these models are indeed capable of adjusting to answer questions that require multiple answers. We hope that our findings will assist future development in question-answering and improve existing question-answering products and methods. ]]>
Machine Reading Comprehension (MRC), particularly extractive close-domain question-answering, is a prominent field in Natural Language Processing (NLP). Given a question and a passage or set of passages, a machine must be able to extract the appropriate answer from the passage(s). However, the majority of these existing questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehension abilities. Runtime of base models on the entire dataset is approximately one day while the runtime for all models on a third of the dataset is a little over two days. Among the three of BERT-based models we ran, RoBERTa exhibits the highest consistent performance, regardless of size. We find that all our models perform similarly on this new, multi-span dataset compared to the single-span source datasets. While the models tested on the source datasets were slightly fine-tuned in order to return multiple answers, performance is similar enough to judge that task formulation does not drastically affect question-answering abilities. Our evaluations indicate that these models are indeed capable of adjusting to answer questions that require multiple answers. We hope that our findings will assist future development in question-answering and improve existing question-answering products and methods. ]]> Wed, 17 Feb 2021 14:07:40 GMT /slideshow/evaluation-of-singlespan-models-on-extractive-multispan-questionanswering-242907504/242907504 IJwest@slideshare.net(IJwest) EVALUATION OF SINGLE-SPAN MODELS ON EXTRACTIVE MULTI-SPAN QUESTION-ANSWERING IJwest Machine Reading Comprehension (MRC), particularly extractive close-domain question-answering, is a prominent field in Natural Language Processing (NLP). Given a question and a passage or set of passages, a machine must be able to extract the appropriate answer from the passage(s). However, the majority of these existing questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehension abilities. Runtime of base models on the entire dataset is approximately one day while the runtime for all models on a third of the dataset is a little over two days. Among the three of BERT-based models we ran, RoBERTa exhibits the highest consistent performance, regardless of size. We find that all our models perform similarly on this new, multi-span dataset compared to the single-span source datasets. While the models tested on the source datasets were slightly fine-tuned in order to return multiple answers, performance is similar enough to judge that task formulation does not drastically affect question-answering abilities. Our evaluations indicate that these models are indeed capable of adjusting to answer questions that require multiple answers. We hope that our findings will assist future development in question-answering and improve existing question-answering products and methods. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12121ijwest02-210217140741-thumbnail.jpg?width=120&height=120&fit=bounds" /> Machine Reading Comprehension (MRC), particularly extractive close-domain question-answering, is a prominent field in Natural Language Processing (NLP). Given a question and a passage or set of passages, a machine must be able to extract the appropriate answer from the passage(s). However, the majority of these existing questions have only one answer, and more substantial testing on questions with multiple answers, or multi-span questions, has not yet been applied. Thus, we introduce a newly compiled dataset consisting of questions with multiple answers that originate from previously existing datasets. In addition, we run BERT-based models pre-trained for question-answering on our constructed dataset to evaluate their reading comprehension abilities. Runtime of base models on the entire dataset is approximately one day while the runtime for all models on a third of the dataset is a little over two days. Among the three of BERT-based models we ran, RoBERTa exhibits the highest consistent performance, regardless of size. We find that all our models perform similarly on this new, multi-span dataset compared to the single-span source datasets. While the models tested on the source datasets were slightly fine-tuned in order to return multiple answers, performance is similar enough to judge that task formulation does not drastically affect question-answering abilities. Our evaluations indicate that these models are indeed capable of adjusting to answer questions that require multiple answers. We hope that our findings will assist future development in question-answering and improve existing question-answering products and methods.

EVALUATION OF SINGLE-SPAN MODELS ON EXTRACTIVE MULTI-SPAN QUESTION-ANSWERING from IJwest

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0 U-MENTALISM PATENT: THE BEGINNING OF CINEMATIC SUPERCOMPUTATION /slideshow/umentalism-patent-the-beginning-of-cinematic-supercomputation/242907463 12121ijwest01-210217140618
This paper discloses in synthesis a super-computation computer architecture (CA) model, presently a provisional Patent Application at INPI (nº 116408). The outline is focused on a method to perform computation at or near the speed of light, resorting to an inversion of the Princeton CA. It expands from isomorphic binary/RGB (typical) digital “images”, in a network of (UTM)s over Turing-machines (M)s. From the binary/RGB code, an arithmetic theory of (typical) digital images permits fully synchronous/orthogonal calculus in parallelism, wherefrom an exponential surplus is achieved. One such architecture depends on any “cell”-like exponential-prone basis such as the “pixel”, or rather the RGB “octet-byte”, limited as it may be, once it is congruent with any wave-particle duality principle in observable objects under the electromagnetic spectrum and reprogrammable designed. Well-ordered instructions in binary/RGB modules are, further, programming composed to alter the structure of the Internet, in virtual/virtuous eternal recursion/recurrence, under man-machine/machine-machine communication ontology. ]]>
This paper discloses in synthesis a super-computation computer architecture (CA) model, presently a provisional Patent Application at INPI (nº 116408). The outline is focused on a method to perform computation at or near the speed of light, resorting to an inversion of the Princeton CA. It expands from isomorphic binary/RGB (typical) digital “images”, in a network of (UTM)s over Turing-machines (M)s. From the binary/RGB code, an arithmetic theory of (typical) digital images permits fully synchronous/orthogonal calculus in parallelism, wherefrom an exponential surplus is achieved. One such architecture depends on any “cell”-like exponential-prone basis such as the “pixel”, or rather the RGB “octet-byte”, limited as it may be, once it is congruent with any wave-particle duality principle in observable objects under the electromagnetic spectrum and reprogrammable designed. Well-ordered instructions in binary/RGB modules are, further, programming composed to alter the structure of the Internet, in virtual/virtuous eternal recursion/recurrence, under man-machine/machine-machine communication ontology. ]]> Wed, 17 Feb 2021 14:06:18 GMT /slideshow/umentalism-patent-the-beginning-of-cinematic-supercomputation/242907463 IJwest@slideshare.net(IJwest) U-MENTALISM PATENT: THE BEGINNING OF CINEMATIC SUPERCOMPUTATION IJwest This paper discloses in synthesis a super-computation computer architecture (CA) model, presently a provisional Patent Application at INPI (nº 116408). The outline is focused on a method to perform computation at or near the speed of light, resorting to an inversion of the Princeton CA. It expands from isomorphic binary/RGB (typical) digital “images”, in a network of (UTM)s over Turing-machines (M)s. From the binary/RGB code, an arithmetic theory of (typical) digital images permits fully synchronous/orthogonal calculus in parallelism, wherefrom an exponential surplus is achieved. One such architecture depends on any “cell”-like exponential-prone basis such as the “pixel”, or rather the RGB “octet-byte”, limited as it may be, once it is congruent with any wave-particle duality principle in observable objects under the electromagnetic spectrum and reprogrammable designed. Well-ordered instructions in binary/RGB modules are, further, programming composed to alter the structure of the Internet, in virtual/virtuous eternal recursion/recurrence, under man-machine/machine-machine communication ontology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12121ijwest01-210217140618-thumbnail.jpg?width=120&height=120&fit=bounds" /> This paper discloses in synthesis a super-computation computer architecture (CA) model, presently a provisional Patent Application at INPI (nº 116408). The outline is focused on a method to perform computation at or near the speed of light, resorting to an inversion of the Princeton CA. It expands from isomorphic binary/RGB (typical) digital “images”, in a network of (UTM)s over Turing-machines (M)s. From the binary/RGB code, an arithmetic theory of (typical) digital images permits fully synchronous/orthogonal calculus in parallelism, wherefrom an exponential surplus is achieved. One such architecture depends on any “cell”-like exponential-prone basis such as the “pixel”, or rather the RGB “octet-byte”, limited as it may be, once it is congruent with any wave-particle duality principle in observable objects under the electromagnetic spectrum and reprogrammable designed. Well-ordered instructions in binary/RGB modules are, further, programming composed to alter the structure of the Internet, in virtual/virtuous eternal recursion/recurrence, under man-machine/machine-machine communication ontology.

U-MENTALISM PATENT: THE BEGINNING OF CINEMATIC SUPERCOMPUTATION from IJwest

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0 SELECTION MECHANISM OF MICRO-SERVICES ORCHESTRATION VS. CHOREOGRAPHY /slideshow/selection-mechanism-of-microservices-orchestration-vs-choreography/130958757 10119ijwest01-190208041337
ABSTRACT Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation.]]>
ABSTRACT Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation.]]> Fri, 08 Feb 2019 04:13:37 GMT /slideshow/selection-mechanism-of-microservices-orchestration-vs-choreography/130958757 IJwest@slideshare.net(IJwest) SELECTION MECHANISM OF MICRO-SERVICES ORCHESTRATION VS. CHOREOGRAPHY IJwest ABSTRACT Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/10119ijwest01-190208041337-thumbnail.jpg?width=120&height=120&fit=bounds" /> ABSTRACT Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation.

SELECTION MECHANISM OF MICRO-SERVICES ORCHESTRATION VS. CHOREOGRAPHY from IJwest

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0 ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITY /slideshow/assessing-similarity-between-ontologies-the-case-of-the-conceptual-similarity/122761182 9418ijwest01-181112042746
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too.]]>
In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too.]]> Mon, 12 Nov 2018 04:27:46 GMT /slideshow/assessing-similarity-between-ontologies-the-case-of-the-conceptual-similarity/122761182 IJwest@slideshare.net(IJwest) ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITY IJwest In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9418ijwest01-181112042746-thumbnail.jpg?width=120&height=120&fit=bounds" /> In ontology engineering, there are many cases where assessing similarity between ontologies is required, this is the case of the alignment activities, ontology evolutions, ontology similarities, etc. This paper presents a new method for assessing similarity between concepts of ontologies. The method is based on the set theory, edges and feature similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then, we evaluate the average value of similarity for each set by using edges-based semantic similarity. Finally, we compute similarity between ontologies by using average values of each set and by using feature-based similarity measure too.

ASSESSING SIMILARITY BETWEEN ONTOLOGIES: THE CASE OF THE CONCEPTUAL SIMILARITY from IJwest

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0 CONFIGURING ASSOCIATIONS TO INCREASE TRUST IN PRODUCT PURCHASE /IJwest/configuring-associations-to-increase-trust-in-product-purchase 9318ijwest04-180809072352
Clustering is categorizing data into groups with similar objects. Data mining adds to complexities of clustering a large dataset with various features. Among these datasets, there are electronic business stores which offer their products through web. These stores require recommendation systems which can offer products to the user which the user might require them with higher probability. In this study, previous purchases of users are used to present a sorted list of products to the user. Identifying associations related to users and finding centers increases precision of the recommended list. Configuration of associations and creating a profile for users is important in current studies. In the proposed method, association rules are presented to model user interactions in the web which use time that a page is visited and frequency of visiting a page to weight pages and describes users’ interest to page groups. Therefore, weight of each transaction item describes user’s interest in that item. Analyzing results show that the proposed method presents a more complete model of users’ behavior because it combines weight and membership degree of pages simultaneously for ranking candidate pages. This method has obtained higher accuracy compared to other methods even in higher number of pages. ]]>
Clustering is categorizing data into groups with similar objects. Data mining adds to complexities of clustering a large dataset with various features. Among these datasets, there are electronic business stores which offer their products through web. These stores require recommendation systems which can offer products to the user which the user might require them with higher probability. In this study, previous purchases of users are used to present a sorted list of products to the user. Identifying associations related to users and finding centers increases precision of the recommended list. Configuration of associations and creating a profile for users is important in current studies. In the proposed method, association rules are presented to model user interactions in the web which use time that a page is visited and frequency of visiting a page to weight pages and describes users’ interest to page groups. Therefore, weight of each transaction item describes user’s interest in that item. Analyzing results show that the proposed method presents a more complete model of users’ behavior because it combines weight and membership degree of pages simultaneously for ranking candidate pages. This method has obtained higher accuracy compared to other methods even in higher number of pages. ]]> Thu, 09 Aug 2018 07:23:52 GMT /IJwest/configuring-associations-to-increase-trust-in-product-purchase IJwest@slideshare.net(IJwest) CONFIGURING ASSOCIATIONS TO INCREASE TRUST IN PRODUCT PURCHASE IJwest Clustering is categorizing data into groups with similar objects. Data mining adds to complexities of clustering a large dataset with various features. Among these datasets, there are electronic business stores which offer their products through web. These stores require recommendation systems which can offer products to the user which the user might require them with higher probability. In this study, previous purchases of users are used to present a sorted list of products to the user. Identifying associations related to users and finding centers increases precision of the recommended list. Configuration of associations and creating a profile for users is important in current studies. In the proposed method, association rules are presented to model user interactions in the web which use time that a page is visited and frequency of visiting a page to weight pages and describes users’ interest to page groups. Therefore, weight of each transaction item describes user’s interest in that item. Analyzing results show that the proposed method presents a more complete model of users’ behavior because it combines weight and membership degree of pages simultaneously for ranking candidate pages. This method has obtained higher accuracy compared to other methods even in higher number of pages. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9318ijwest04-180809072352-thumbnail.jpg?width=120&height=120&fit=bounds" /> Clustering is categorizing data into groups with similar objects. Data mining adds to complexities of clustering a large dataset with various features. Among these datasets, there are electronic business stores which offer their products through web. These stores require recommendation systems which can offer products to the user which the user might require them with higher probability. In this study, previous purchases of users are used to present a sorted list of products to the user. Identifying associations related to users and finding centers increases precision of the recommended list. Configuration of associations and creating a profile for users is important in current studies. In the proposed method, association rules are presented to model user interactions in the web which use time that a page is visited and frequency of visiting a page to weight pages and describes users’ interest to page groups. Therefore, weight of each transaction item describes user’s interest in that item. Analyzing results show that the proposed method presents a more complete model of users’ behavior because it combines weight and membership degree of pages simultaneously for ranking candidate pages. This method has obtained higher accuracy compared to other methods even in higher number of pages.

CONFIGURING ASSOCIATIONS TO INCREASE TRUST IN PRODUCT PURCHASE from IJwest

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0 IDENTIFYING IMPORTANT FEATURES OF USERS TO IMPROVE PAGE RANKING ALGORITHMS /slideshow/identifying-important-features-of-users-to-improve-page-ranking-algorithms/109188246 9318ijwest03-180809071950
Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance. ]]>
Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance. ]]> Thu, 09 Aug 2018 07:19:50 GMT /slideshow/identifying-important-features-of-users-to-improve-page-ranking-algorithms/109188246 IJwest@slideshare.net(IJwest) IDENTIFYING IMPORTANT FEATURES OF USERS TO IMPROVE PAGE RANKING ALGORITHMS IJwest Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9318ijwest03-180809071950-thumbnail.jpg?width=120&height=120&fit=bounds" /> Web is a wide, various and dynamic environment in which different users publish their documents. Webmining is one of data mining applications in which web patterns are explored. Studies on web mining can be categorized into three classes: application mining, content mining and structure mining. Today, internet has found an increasing significance. Search engines are considered as an important tool to respond users’ interactions. Among algorithms which is used to find pages desired by users is page rank algorithm which ranks pages based on users’ interests. However, as being the most widely used algorithm by search engines including Google, this algorithm has proved its eligibility compared to similar algorithm, but considering growth speed of Internet and increase in using this technology, improving performance of this algorithm is considered as one of the web mining necessities. Current study emphasizes on Ant Colony algorithm and marks most visited links based on higher amount of pheromone. Results of the proposed algorithm indicate high accuracy of this method compared to previous methods. Ant Colony Algorithm as one of the swarm intelligence algorithms inspired by social behavior of ants can be effective in modeling social behavior of web users. In addition, application mining and structure mining techniques can be used simultaneously to improve page ranking performance.

IDENTIFYING IMPORTANT FEATURES OF USERS TO IMPROVE PAGE RANKING ALGORITHMS from IJwest

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0 A BOOTSTRAPPING METHOD FOR AUTOMATIC CONSTRUCTING OF THE WEB ONTOLOGY INSTANCES AND PROPERTIES /IJwest/a-bootstrapping-method-for-automatic-constructing-of-the-web-ontology-instances-and-properties 9318ijwest02-180809071508
With the phenomenal growth of the Web resources, to construct ontologies by using existing resources structured in the Web has gotten more and more attention. Previous studies for constructing ontologies from the Web have not carefully considered all the semantic features of the Web documents. Hereby it is difficult to correctly construct ontology elements from the Web documents that are increasing daily. The machine learning methods play an important role in automatic constructing of the Web ontology. Bootstrapping technique is a semi-supervised learning method that can automatically generate many terms from the few seed terms entered by human. This paper proposes bootstrapping method that can automatically construct instances and data type properties of the Web ontology, taking proper noun as semantic core element of the Web table. Experimental result shows that proposed method can rapidly and effectually construct instances and its properties of the Web ontology]]>
With the phenomenal growth of the Web resources, to construct ontologies by using existing resources structured in the Web has gotten more and more attention. Previous studies for constructing ontologies from the Web have not carefully considered all the semantic features of the Web documents. Hereby it is difficult to correctly construct ontology elements from the Web documents that are increasing daily. The machine learning methods play an important role in automatic constructing of the Web ontology. Bootstrapping technique is a semi-supervised learning method that can automatically generate many terms from the few seed terms entered by human. This paper proposes bootstrapping method that can automatically construct instances and data type properties of the Web ontology, taking proper noun as semantic core element of the Web table. Experimental result shows that proposed method can rapidly and effectually construct instances and its properties of the Web ontology]]> Thu, 09 Aug 2018 07:15:08 GMT /IJwest/a-bootstrapping-method-for-automatic-constructing-of-the-web-ontology-instances-and-properties IJwest@slideshare.net(IJwest) A BOOTSTRAPPING METHOD FOR AUTOMATIC CONSTRUCTING OF THE WEB ONTOLOGY INSTANCES AND PROPERTIES IJwest With the phenomenal growth of the Web resources, to construct ontologies by using existing resources structured in the Web has gotten more and more attention. Previous studies for constructing ontologies from the Web have not carefully considered all the semantic features of the Web documents. Hereby it is difficult to correctly construct ontology elements from the Web documents that are increasing daily. The machine learning methods play an important role in automatic constructing of the Web ontology. Bootstrapping technique is a semi-supervised learning method that can automatically generate many terms from the few seed terms entered by human. This paper proposes bootstrapping method that can automatically construct instances and data type properties of the Web ontology, taking proper noun as semantic core element of the Web table. Experimental result shows that proposed method can rapidly and effectually construct instances and its properties of the Web ontology <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9318ijwest02-180809071508-thumbnail.jpg?width=120&height=120&fit=bounds" /> With the phenomenal growth of the Web resources, to construct ontologies by using existing resources structured in the Web has gotten more and more attention. Previous studies for constructing ontologies from the Web have not carefully considered all the semantic features of the Web documents. Hereby it is difficult to correctly construct ontology elements from the Web documents that are increasing daily. The machine learning methods play an important role in automatic constructing of the Web ontology. Bootstrapping technique is a semi-supervised learning method that can automatically generate many terms from the few seed terms entered by human. This paper proposes bootstrapping method that can automatically construct instances and data type properties of the Web ontology, taking proper noun as semantic core element of the Web table. Experimental result shows that proposed method can rapidly and effectually construct instances and its properties of the Web ontology

A BOOTSTRAPPING METHOD FOR AUTOMATIC CONSTRUCTING OF THE WEB ONTOLOGY INSTANCES AND PROPERTIES from IJwest

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0 INTELLIGENT SOCIAL NETWORKS MODEL BASED ON SEMANTIC TAG RANKING /IJwest/intelligent-social-networks-model-based-on-semantic-tag-ranking 9318ijwest01-180809070953
Social Networks has become one of the most popular platforms to allow users to communicate, and share their interests without being at the same geographical location. With the great and rapid growth of Social Media sites such as Facebook, LinkedIn, Twitter…etc. causes huge amount of user-generated content. Thus, the improvement in the information quality and integrity becomes a great challenge to all social media sites, which allows users to get the desired content or be linked to the best link relation using improved search / link technique. So introducing semantics to social networks will widen up the representation of the social networks. In this paper, a new model of social networks based on semantic tag ranking is introduced. This model is based on the concept of multi-agent systems. In this proposed model the representation of social links will be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of social networks.The proposed model for the social media engine is based on enhanced Latent Dirichlet Allocation(E-LDA) as a semantic indexing algorithm, combined with Tag Rank as social network ranking algorithm. The improvements on (E-LDA) phase is done by optimizing (LDA) algorithm using the optimal parameters. Then a filter is introduced to enhance the final indexing output. In ranking phase, using Tag Rank based on the indexing phase has improved the output of the ranking. Simulation results of the proposed model have shown improvements in indexing and ranking output. ]]>
Social Networks has become one of the most popular platforms to allow users to communicate, and share their interests without being at the same geographical location. With the great and rapid growth of Social Media sites such as Facebook, LinkedIn, Twitter…etc. causes huge amount of user-generated content. Thus, the improvement in the information quality and integrity becomes a great challenge to all social media sites, which allows users to get the desired content or be linked to the best link relation using improved search / link technique. So introducing semantics to social networks will widen up the representation of the social networks. In this paper, a new model of social networks based on semantic tag ranking is introduced. This model is based on the concept of multi-agent systems. In this proposed model the representation of social links will be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of social networks.The proposed model for the social media engine is based on enhanced Latent Dirichlet Allocation(E-LDA) as a semantic indexing algorithm, combined with Tag Rank as social network ranking algorithm. The improvements on (E-LDA) phase is done by optimizing (LDA) algorithm using the optimal parameters. Then a filter is introduced to enhance the final indexing output. In ranking phase, using Tag Rank based on the indexing phase has improved the output of the ranking. Simulation results of the proposed model have shown improvements in indexing and ranking output. ]]> Thu, 09 Aug 2018 07:09:53 GMT /IJwest/intelligent-social-networks-model-based-on-semantic-tag-ranking IJwest@slideshare.net(IJwest) INTELLIGENT SOCIAL NETWORKS MODEL BASED ON SEMANTIC TAG RANKING IJwest Social Networks has become one of the most popular platforms to allow users to communicate, and share their interests without being at the same geographical location. With the great and rapid growth of Social Media sites such as Facebook, LinkedIn, Twitter…etc. causes huge amount of user-generated content. Thus, the improvement in the information quality and integrity becomes a great challenge to all social media sites, which allows users to get the desired content or be linked to the best link relation using improved search / link technique. So introducing semantics to social networks will widen up the representation of the social networks. In this paper, a new model of social networks based on semantic tag ranking is introduced. This model is based on the concept of multi-agent systems. In this proposed model the representation of social links will be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of social networks.The proposed model for the social media engine is based on enhanced Latent Dirichlet Allocation(E-LDA) as a semantic indexing algorithm, combined with Tag Rank as social network ranking algorithm. The improvements on (E-LDA) phase is done by optimizing (LDA) algorithm using the optimal parameters. Then a filter is introduced to enhance the final indexing output. In ranking phase, using Tag Rank based on the indexing phase has improved the output of the ranking. Simulation results of the proposed model have shown improvements in indexing and ranking output. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9318ijwest01-180809070953-thumbnail.jpg?width=120&height=120&fit=bounds" /> Social Networks has become one of the most popular platforms to allow users to communicate, and share their interests without being at the same geographical location. With the great and rapid growth of Social Media sites such as Facebook, LinkedIn, Twitter…etc. causes huge amount of user-generated content. Thus, the improvement in the information quality and integrity becomes a great challenge to all social media sites, which allows users to get the desired content or be linked to the best link relation using improved search / link technique. So introducing semantics to social networks will widen up the representation of the social networks. In this paper, a new model of social networks based on semantic tag ranking is introduced. This model is based on the concept of multi-agent systems. In this proposed model the representation of social links will be extended by the semantic relationships found in the vocabularies which are known as (tags) in most of social networks.The proposed model for the social media engine is based on enhanced Latent Dirichlet Allocation(E-LDA) as a semantic indexing algorithm, combined with Tag Rank as social network ranking algorithm. The improvements on (E-LDA) phase is done by optimizing (LDA) algorithm using the optimal parameters. Then a filter is introduced to enhance the final indexing output. In ranking phase, using Tag Rank based on the indexing phase has improved the output of the ranking. Simulation results of the proposed model have shown improvements in indexing and ranking output.

INTELLIGENT SOCIAL NETWORKS MODEL BASED ON SEMANTIC TAG RANKING from IJwest

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0 A CLOUD BASED ARCHITECTURE FOR WORKING ON BIG DATA WITH WORKFLOW MANAGEMENT /slideshow/a-cloud-based-architecture-for-working-on-big-data-with-workflow-management/96379753 9218ijwest01-180508104158
In real environment there is a collection of many noisy and vague data, called Big Data. On the other hand, to work on the data middleware have been developed and is now very widely used. The challenge of working on Big Data is its processing and management. Here, integrated management system is required to provide a solution for integrating data from multiple sensors and maximize the target success. This is in situation that the system has constant time constrains for processing, and real-time decision-making processes. A reliable data fusion model must meet this requirement and steadily let the user monitor data stream. With widespread using of workflow interfaces, this requirement can be addressed. But, the work with Big Data is also challenging. We provide a multi-agent cloud-based architecture for a higher vision to solve this problem. This architecture provides the ability to Big Data Fusion using a workflow management interface. The proposed system is capable of self-repair in the presence of risks and its risk is low.]]>
In real environment there is a collection of many noisy and vague data, called Big Data. On the other hand, to work on the data middleware have been developed and is now very widely used. The challenge of working on Big Data is its processing and management. Here, integrated management system is required to provide a solution for integrating data from multiple sensors and maximize the target success. This is in situation that the system has constant time constrains for processing, and real-time decision-making processes. A reliable data fusion model must meet this requirement and steadily let the user monitor data stream. With widespread using of workflow interfaces, this requirement can be addressed. But, the work with Big Data is also challenging. We provide a multi-agent cloud-based architecture for a higher vision to solve this problem. This architecture provides the ability to Big Data Fusion using a workflow management interface. The proposed system is capable of self-repair in the presence of risks and its risk is low.]]> Tue, 08 May 2018 10:41:58 GMT /slideshow/a-cloud-based-architecture-for-working-on-big-data-with-workflow-management/96379753 IJwest@slideshare.net(IJwest) A CLOUD BASED ARCHITECTURE FOR WORKING ON BIG DATA WITH WORKFLOW MANAGEMENT IJwest In real environment there is a collection of many noisy and vague data, called Big Data. On the other hand, to work on the data middleware have been developed and is now very widely used. The challenge of working on Big Data is its processing and management. Here, integrated management system is required to provide a solution for integrating data from multiple sensors and maximize the target success. This is in situation that the system has constant time constrains for processing, and real-time decision-making processes. A reliable data fusion model must meet this requirement and steadily let the user monitor data stream. With widespread using of workflow interfaces, this requirement can be addressed. But, the work with Big Data is also challenging. We provide a multi-agent cloud-based architecture for a higher vision to solve this problem. This architecture provides the ability to Big Data Fusion using a workflow management interface. The proposed system is capable of self-repair in the presence of risks and its risk is low. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/9218ijwest01-180508104158-thumbnail.jpg?width=120&height=120&fit=bounds" /> In real environment there is a collection of many noisy and vague data, called Big Data. On the other hand, to work on the data middleware have been developed and is now very widely used. The challenge of working on Big Data is its processing and management. Here, integrated management system is required to provide a solution for integrating data from multiple sensors and maximize the target success. This is in situation that the system has constant time constrains for processing, and real-time decision-making processes. A reliable data fusion model must meet this requirement and steadily let the user monitor data stream. With widespread using of workflow interfaces, this requirement can be addressed. But, the work with Big Data is also challenging. We provide a multi-agent cloud-based architecture for a higher vision to solve this problem. This architecture provides the ability to Big Data Fusion using a workflow management interface. The proposed system is capable of self-repair in the presence of risks and its risk is low.

A CLOUD BASED ARCHITECTURE FOR WORKING ON BIG DATA WITH WORKFLOW MANAGEMENT from IJwest

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0 A Comparative Study Ontology Building Tools for Semantic Web Applications /IJwest/a-comparative-study-ontology-building-tools-for-semantic-web-applications 0710ijwest01-180306041006
Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains. ]]>
Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains. ]]> Tue, 06 Mar 2018 04:10:06 GMT /IJwest/a-comparative-study-ontology-building-tools-for-semantic-web-applications IJwest@slideshare.net(IJwest) A Comparative Study Ontology Building Tools for Semantic Web Applications IJwest Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/0710ijwest01-180306041006-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ontologies have recently received popularity in the area of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web and its supporting technologies. An ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge.The aim of this paper is to identify all possible existing ontologies and ontology management tools (Protégé 3.4, Apollo, IsaViz & SWOOP) that are freely available and review them in terms of: a) interoperability, b) openness, c) easiness to update and maintain, d) market status and penetration. The results of the review in ontologies are analyzed for each application area, such as transport, tourism, personal services, health and social services, natural languages and other HCI-related domains. Ontology Building/Management Tools are used by different groups of people for performing diverse tasks. Although each tool provides different functionalities, most of the users just use only one, because they are not able to interchange their ontologies from one tool to another. In addition, we considered the compatibility of different ontologies with different development and management tools. The paper is also concerns the detection of commonalities and differences between the examined ontologies, both on the same domain (application area) and among different domains.

A Comparative Study Ontology Building Tools for Semantic Web Applications from IJwest

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0 A METHOD FOR WEBSITE USABILITY EVALUATION: A COMPARATIVE ANALYSIS /slideshow/a-method-for-website-usability-evaluation-a-comparative-analysis/78620451 4-170807061101
ABSTRACT Graphical user interfaces design in software development process focuses on maximizing usability and the user's experience, in order to make the interaction for users easy, flexible and efficient. In this paper, we propose an approach for evaluating the usability satisfaction degree of a web-based system. The proposed method has been accomplished in two phases and implemented on an airlines website as a case study. In the first phase, a website usability test is implemented by a number of users, and then the results obtained are translated into charts for a final web-based system evaluation in the second phase. The results achieved were satisfactory, since the places where the weaknesses and gaps in the website are identified and recommended solutions to avoid them are drawn. The authenticity of the results have been confirmed by comparing them with user opinions acquired from a questionnaire, which proves the precision in which the website is rated.]]>
ABSTRACT Graphical user interfaces design in software development process focuses on maximizing usability and the user's experience, in order to make the interaction for users easy, flexible and efficient. In this paper, we propose an approach for evaluating the usability satisfaction degree of a web-based system. The proposed method has been accomplished in two phases and implemented on an airlines website as a case study. In the first phase, a website usability test is implemented by a number of users, and then the results obtained are translated into charts for a final web-based system evaluation in the second phase. The results achieved were satisfactory, since the places where the weaknesses and gaps in the website are identified and recommended solutions to avoid them are drawn. The authenticity of the results have been confirmed by comparing them with user opinions acquired from a questionnaire, which proves the precision in which the website is rated.]]> Mon, 07 Aug 2017 06:11:01 GMT /slideshow/a-method-for-website-usability-evaluation-a-comparative-analysis/78620451 IJwest@slideshare.net(IJwest) A METHOD FOR WEBSITE USABILITY EVALUATION: A COMPARATIVE ANALYSIS IJwest ABSTRACT Graphical user interfaces design in software development process focuses on maximizing usability and the user's experience, in order to make the interaction for users easy, flexible and efficient. In this paper, we propose an approach for evaluating the usability satisfaction degree of a web-based system. The proposed method has been accomplished in two phases and implemented on an airlines website as a case study. In the first phase, a website usability test is implemented by a number of users, and then the results obtained are translated into charts for a final web-based system evaluation in the second phase. The results achieved were satisfactory, since the places where the weaknesses and gaps in the website are identified and recommended solutions to avoid them are drawn. The authenticity of the results have been confirmed by comparing them with user opinions acquired from a questionnaire, which proves the precision in which the website is rated. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4-170807061101-thumbnail.jpg?width=120&height=120&fit=bounds" /> ABSTRACT Graphical user interfaces design in software development process focuses on maximizing usability and the user's experience, in order to make the interaction for users easy, flexible and efficient. In this paper, we propose an approach for evaluating the usability satisfaction degree of a web-based system. The proposed method has been accomplished in two phases and implemented on an airlines website as a case study. In the first phase, a website usability test is implemented by a number of users, and then the results obtained are translated into charts for a final web-based system evaluation in the second phase. The results achieved were satisfactory, since the places where the weaknesses and gaps in the website are identified and recommended solutions to avoid them are drawn. The authenticity of the results have been confirmed by comparing them with user opinions acquired from a questionnaire, which proves the precision in which the website is rated.

A METHOD FOR WEBSITE USABILITY EVALUATION: A COMPARATIVE ANALYSIS from IJwest

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0 CLUSTERING-BASED SERVICE SELECTION FOR DYNAMIC SERVICE COMPOSITION /slideshow/clusteringbased-service-selection-for-dynamic-service-composition/75765593 8217ijwest01-170508050719
The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process.]]>
The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process.]]> Mon, 08 May 2017 05:07:19 GMT /slideshow/clusteringbased-service-selection-for-dynamic-service-composition/75765593 IJwest@slideshare.net(IJwest) CLUSTERING-BASED SERVICE SELECTION FOR DYNAMIC SERVICE COMPOSITION IJwest The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/8217ijwest01-170508050719-thumbnail.jpg?width=120&height=120&fit=bounds" /> The increase in the number of available web services led to the increase in the similarity of services functionality offered by different providers each with different QoS parameters. Therefore, in web service composition, the selection of the optimal service to satisfy the QoS values required by user is one of the significant requirements. Moreover, the dynamic nature of web services adds more challenges to obtain the accuracy of the selection process. Most of the existing service composition approaches deal with services changes during composition execution, causing a re-planning or re-selection that affecst the service composition performance. In this paper, we introduce the clustering-based service selection model that outperforms the existing ones. The proposed model has the ability to detect and recover the changes in service repository by monitoring the composition process from a global point of view. The approach is a two-levels-based web service clustering. The proposed model encompasses a clustering process, a planning process, a selection process and a recovery process.

CLUSTERING-BASED SERVICE SELECTION FOR DYNAMIC SERVICE COMPOSITION from IJwest

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0 INFERENCE BASED INTERPRETATION OF KEYWORD QUERIES FOR OWL ONTOLOGY /slideshow/inference-based-interpretation-of-keyword-queries-for-owl-ontology/71857657 8117ijwest01-170207113946
Most of the systems presented to date deals with RDF format so they are limited in actually addressing the knowledge base features from the ontology based on OWL semantics. Now, there is a need that actual OWL features i.e. rules and axioms must be addressed to give precise answers to the user queries. This paper presents an interface to OWL ontology which also considers axioms and restrictions that can result in inferring results in understanding user queries and in selecting appropriate SPARQL queries for getting better interpretation and answers.]]>
Most of the systems presented to date deals with RDF format so they are limited in actually addressing the knowledge base features from the ontology based on OWL semantics. Now, there is a need that actual OWL features i.e. rules and axioms must be addressed to give precise answers to the user queries. This paper presents an interface to OWL ontology which also considers axioms and restrictions that can result in inferring results in understanding user queries and in selecting appropriate SPARQL queries for getting better interpretation and answers.]]> Tue, 07 Feb 2017 11:39:46 GMT /slideshow/inference-based-interpretation-of-keyword-queries-for-owl-ontology/71857657 IJwest@slideshare.net(IJwest) INFERENCE BASED INTERPRETATION OF KEYWORD QUERIES FOR OWL ONTOLOGY IJwest Most of the systems presented to date deals with RDF format so they are limited in actually addressing the knowledge base features from the ontology based on OWL semantics. Now, there is a need that actual OWL features i.e. rules and axioms must be addressed to give precise answers to the user queries. This paper presents an interface to OWL ontology which also considers axioms and restrictions that can result in inferring results in understanding user queries and in selecting appropriate SPARQL queries for getting better interpretation and answers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/8117ijwest01-170207113946-thumbnail.jpg?width=120&height=120&fit=bounds" /> Most of the systems presented to date deals with RDF format so they are limited in actually addressing the knowledge base features from the ontology based on OWL semantics. Now, there is a need that actual OWL features i.e. rules and axioms must be addressed to give precise answers to the user queries. This paper presents an interface to OWL ontology which also considers axioms and restrictions that can result in inferring results in understanding user queries and in selecting appropriate SPARQL queries for getting better interpretation and answers.

INFERENCE BASED INTERPRETATION OF KEYWORD QUERIES FOR OWL ONTOLOGY from IJwest

]]> 82 2 https://cdn.slidesharecdn.com/ss_thumbnails/8117ijwest01-170207113946-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

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