際際滷shows by User: fadirra / http://www.slideshare.net/images/logo.gif 際際滷shows by User: fadirra / Thu, 19 May 2022 00:50:58 GMT 際際滷Share feed for 際際滷shows by User: fadirra Data X Museum - Hari Museum Internasional 2022 - WMID /slideshow/data-x-museum-hari-museum-internasional-2022-wmid/251809500 wikidataxmuseumrevfinultimate-220519005058-9c049632
Data X Museum - Hari Museum Internasional 2022 - WMID]]>

Data X Museum - Hari Museum Internasional 2022 - WMID]]>
Thu, 19 May 2022 00:50:58 GMT /slideshow/data-x-museum-hari-museum-internasional-2022-wmid/251809500 fadirra@slideshare.net(fadirra) Data X Museum - Hari Museum Internasional 2022 - WMID fadirra Data X Museum - Hari Museum Internasional 2022 - WMID <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wikidataxmuseumrevfinultimate-220519005058-9c049632-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Data X Museum - Hari Museum Internasional 2022 - WMID
Data X Museum - Hari Museum Internasional 2022 - WMID from Fariz Darari
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[PUBLIC] quiz-01-midterm-solutions.pdf /slideshow/public-quiz01midtermsolutionspdf/251407951 publicquiz-01-midterm-solutions-220323103935
When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind. Fast forward, we now thought that the quiz could be of greater use if it's shared to anyone, not just Fasilkom UI students. Yes, our students of our course are everyone, including you! So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready. #java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma]]>

When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind. Fast forward, we now thought that the quiz could be of greater use if it's shared to anyone, not just Fasilkom UI students. Yes, our students of our course are everyone, including you! So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready. #java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma]]>
Wed, 23 Mar 2022 10:39:34 GMT /slideshow/public-quiz01midtermsolutionspdf/251407951 fadirra@slideshare.net(fadirra) [PUBLIC] quiz-01-midterm-solutions.pdf fadirra When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind. Fast forward, we now thought that the quiz could be of greater use if it's shared to anyone, not just Fasilkom UI students. Yes, our students of our course are everyone, including you! So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready. #java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/publicquiz-01-midterm-solutions-220323103935-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> When we created this quiz of Java programming course, we did that with Fasilkom UI students in mind. Fast forward, we now thought that the quiz could be of greater use if it&#39;s shared to anyone, not just Fasilkom UI students. Yes, our students of our course are everyone, including you! So please find attached, fresh from the oven, Java programming quiz part 01 (with key answers). More parts are coming whenever they are ready. #java #programming #universitasindonesia #opencourse #openaccess #openeducation #opentridharma
[PUBLIC] quiz-01-midterm-solutions.pdf from Fariz Darari
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Free AI Kit - Game Theory /slideshow/free-ai-kit-game-theory/233990684 freeaikit-gametheory-200514233154
Free AI Kit is an initiative to open up knowledge about AI to anyone, anywhere, anytime with NO cost]]>

Free AI Kit is an initiative to open up knowledge about AI to anyone, anywhere, anytime with NO cost]]>
Thu, 14 May 2020 23:31:54 GMT /slideshow/free-ai-kit-game-theory/233990684 fadirra@slideshare.net(fadirra) Free AI Kit - Game Theory fadirra Free AI Kit is an initiative to open up knowledge about AI to anyone, anywhere, anytime with NO cost <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/freeaikit-gametheory-200514233154-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Free AI Kit is an initiative to open up knowledge about AI to anyone, anywhere, anytime with NO cost
Free AI Kit - Game Theory from Fariz Darari
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Neural Networks and Deep Learning: An Intro /slideshow/neural-networks-and-deep-learning-an-intro/233139381 ai-fdrev01-200504101911
Outline: Artificial Neurons, ANN Learning, Multi-Layer NN, NN in Action, CNN ]]>

Outline: Artificial Neurons, ANN Learning, Multi-Layer NN, NN in Action, CNN ]]>
Mon, 04 May 2020 10:19:11 GMT /slideshow/neural-networks-and-deep-learning-an-intro/233139381 fadirra@slideshare.net(fadirra) Neural Networks and Deep Learning: An Intro fadirra Outline: Artificial Neurons, ANN Learning, Multi-Layer NN, NN in Action, CNN <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-fdrev01-200504101911-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Outline: Artificial Neurons, ANN Learning, Multi-Layer NN, NN in Action, CNN
Neural Networks and Deep Learning: An Intro from Fariz Darari
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NLP guest lecture: How to get text to confess what knowledge it has /slideshow/nlp-guest-lecture-how-to-get-text-to-confess-what-knowledge-it-has/232982456 2020-nlp-ai-fd-200501045918
Featuring NLTK and Stanza code. NLP guest lecture: How to get text to confess what knowledge it has]]>

Featuring NLTK and Stanza code. NLP guest lecture: How to get text to confess what knowledge it has]]>
Fri, 01 May 2020 04:59:18 GMT /slideshow/nlp-guest-lecture-how-to-get-text-to-confess-what-knowledge-it-has/232982456 fadirra@slideshare.net(fadirra) NLP guest lecture: How to get text to confess what knowledge it has fadirra Featuring NLTK and Stanza code. NLP guest lecture: How to get text to confess what knowledge it has <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/2020-nlp-ai-fd-200501045918-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Featuring NLTK and Stanza code. NLP guest lecture: How to get text to confess what knowledge it has
NLP guest lecture: How to get text to confess what knowledge it has from Fariz Darari
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Supply and Demand - AI Talents /slideshow/supply-and-demand-ai-talents/230591906 supplyanddemand-talentaai-200320103120
Supply and Demand - Perspektif Perguruan Tinggi]]>

Supply and Demand - Perspektif Perguruan Tinggi]]>
Fri, 20 Mar 2020 10:31:19 GMT /slideshow/supply-and-demand-ai-talents/230591906 fadirra@slideshare.net(fadirra) Supply and Demand - AI Talents fadirra Supply and Demand - Perspektif Perguruan Tinggi <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/supplyanddemand-talentaai-200320103120-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Supply and Demand - Perspektif Perguruan Tinggi
Supply and Demand - AI Talents from Fariz Darari
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Basic Python Programming: Part 01 and Part 02 /slideshow/basic-python-programming-part-01-and-part-02/228230583 topic00-basicpythonprogramming-200216105325
Quick refresher on Python programming]]>

Quick refresher on Python programming]]>
Sun, 16 Feb 2020 10:53:25 GMT /slideshow/basic-python-programming-part-01-and-part-02/228230583 fadirra@slideshare.net(fadirra) Basic Python Programming: Part 01 and Part 02 fadirra Quick refresher on Python programming <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/topic00-basicpythonprogramming-200216105325-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Quick refresher on Python programming
Basic Python Programming: Part 01 and Part 02 from Fariz Darari
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AI in education done properly /slideshow/ai-in-education-done-properly/205147237 ai-done-properlyrev02-191213011148
AI in education done properly]]>

AI in education done properly]]>
Fri, 13 Dec 2019 01:11:48 GMT /slideshow/ai-in-education-done-properly/205147237 fadirra@slideshare.net(fadirra) AI in education done properly fadirra AI in education done properly <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ai-done-properlyrev02-191213011148-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> AI in education done properly
AI in education done properly from Fariz Darari
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Artificial Neural Networks: Pointers /slideshow/artificial-neural-networks-pointers/198696341 annv05-191128044423
Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. 際際滷s are for introduction, for deep explanation on deep learning, please consult other slides.]]>

Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. 際際滷s are for introduction, for deep explanation on deep learning, please consult other slides.]]>
Thu, 28 Nov 2019 04:44:23 GMT /slideshow/artificial-neural-networks-pointers/198696341 fadirra@slideshare.net(fadirra) Artificial Neural Networks: Pointers fadirra Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. 際際滷s are for introduction, for deep explanation on deep learning, please consult other slides. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/annv05-191128044423-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Featuring pointers for: Single-layer neural networks and multi-layer neural networks, gradient descent, backpropagation. 際際滷s are for introduction, for deep explanation on deep learning, please consult other slides.
Artificial Neural Networks: Pointers from Fariz Darari
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Open Tridharma at ICACSIS 2019 /slideshow/open-tridharma-at-icacsis-2019/180880135 open-tridharmarev03-191011041537
Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect. The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education.]]>

Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect. The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education.]]>
Fri, 11 Oct 2019 04:15:37 GMT /slideshow/open-tridharma-at-icacsis-2019/180880135 fadirra@slideshare.net(fadirra) Open Tridharma at ICACSIS 2019 fadirra Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect. The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/open-tridharmarev03-191011041537-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Current situation: focus is limited to only implement Tridharma, that is, education, research, and community service, with little concern on openness aspect. The openness of Tridharma can potentially be a breakthrough in mitigating the quality gap issue: opening Tridharma outputs for public would help to increase the citizen inclusion in accessing the quality content of Tridharma, hence narrowing the quality gap in higher education.
Open Tridharma at ICACSIS 2019 from Fariz Darari
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Defense 際際滷s of Avicenna Wisesa - PROWD /fadirra/defense-slides-of-avicenna-wisesa-prowd prowd-slides-190619145647
Defense 際際滷s of Avicenna Wisesa - PROWD]]>

Defense 際際滷s of Avicenna Wisesa - PROWD]]>
Wed, 19 Jun 2019 14:56:47 GMT /fadirra/defense-slides-of-avicenna-wisesa-prowd fadirra@slideshare.net(fadirra) Defense 際際滷s of Avicenna Wisesa - PROWD fadirra Defense 際際滷s of Avicenna Wisesa - PROWD <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/prowd-slides-190619145647-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Defense 際際滷s of Avicenna Wisesa - PROWD
Defense 際際滷s of Avicenna Wisesa - PROWD from Fariz Darari
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Seminar Laporan Aktualisasi - Tridharma Terbuka - Fariz Darari /slideshow/seminar-laporan-aktualisasi-tridharma-terbuka-fariz-darari/140287353 laporan-aktualisasicamready-190410062855
Tridharma Terbuka adalah suatu semangat dan aksi untuk pendidikan, penelitian, dan pengabdian masyarakat yang lebih terbuka.]]>

Tridharma Terbuka adalah suatu semangat dan aksi untuk pendidikan, penelitian, dan pengabdian masyarakat yang lebih terbuka.]]>
Wed, 10 Apr 2019 06:28:55 GMT /slideshow/seminar-laporan-aktualisasi-tridharma-terbuka-fariz-darari/140287353 fadirra@slideshare.net(fadirra) Seminar Laporan Aktualisasi - Tridharma Terbuka - Fariz Darari fadirra Tridharma Terbuka adalah suatu semangat dan aksi untuk pendidikan, penelitian, dan pengabdian masyarakat yang lebih terbuka. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/laporan-aktualisasicamready-190410062855-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Tridharma Terbuka adalah suatu semangat dan aksi untuk pendidikan, penelitian, dan pengabdian masyarakat yang lebih terbuka.
Seminar Laporan Aktualisasi - Tridharma Terbuka - Fariz Darari from Fariz Darari
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Foundations of Programming - Java OOP /slideshow/foundations-of-programming-java-oop/135658267 06-fop2-ooprev4-190311155944
Foundations of Programming - Java OOP]]>

Foundations of Programming - Java OOP]]>
Mon, 11 Mar 2019 15:59:43 GMT /slideshow/foundations-of-programming-java-oop/135658267 fadirra@slideshare.net(fadirra) Foundations of Programming - Java OOP fadirra Foundations of Programming - Java OOP <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/06-fop2-ooprev4-190311155944-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Foundations of Programming - Java OOP
Foundations of Programming - Java OOP from Fariz Darari
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Recursion in Python /slideshow/recursion-in-python/125674648 recursionv03-181212040730
Recursion in Python 3, slides used in Foundations of Programming course at Faculty of Computer Science, Universitas Indonesia]]>

Recursion in Python 3, slides used in Foundations of Programming course at Faculty of Computer Science, Universitas Indonesia]]>
Wed, 12 Dec 2018 04:07:30 GMT /slideshow/recursion-in-python/125674648 fadirra@slideshare.net(fadirra) Recursion in Python fadirra Recursion in Python 3, slides used in Foundations of Programming course at Faculty of Computer Science, Universitas Indonesia <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recursionv03-181212040730-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Recursion in Python 3, slides used in Foundations of Programming course at Faculty of Computer Science, Universitas Indonesia
Recursion in Python from Fariz Darari
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[ISWC 2013] Completeness statements about RDF data sources and their use for query answering /slideshow/iswc-2013-completeness-statements-about-rdf-data-sources-and-their-use-for-query-answering/125117974 iswc13-181206030111
This was presented at ISWC 2013 in Sydney, Australia. Abstract: With thousands of RDF data sources available on the Web covering disparate and possibly overlapping knowledge domains, the problem of providing high-level descriptions (in the form of metadata) of their content becomes crucial. In this paper we introduce a theoretical framework for describing data sources in terms of their completeness. We show how existing data sources can be described with completeness statements expressed in RDF. We then focus on the problem of the completeness of query answering over plain and RDFS data sources augmented with completeness statements. Finally, we present an extension of the completeness framework for federated data sources.]]>

This was presented at ISWC 2013 in Sydney, Australia. Abstract: With thousands of RDF data sources available on the Web covering disparate and possibly overlapping knowledge domains, the problem of providing high-level descriptions (in the form of metadata) of their content becomes crucial. In this paper we introduce a theoretical framework for describing data sources in terms of their completeness. We show how existing data sources can be described with completeness statements expressed in RDF. We then focus on the problem of the completeness of query answering over plain and RDFS data sources augmented with completeness statements. Finally, we present an extension of the completeness framework for federated data sources.]]>
Thu, 06 Dec 2018 03:01:11 GMT /slideshow/iswc-2013-completeness-statements-about-rdf-data-sources-and-their-use-for-query-answering/125117974 fadirra@slideshare.net(fadirra) [ISWC 2013] Completeness statements about RDF data sources and their use for query answering fadirra This was presented at ISWC 2013 in Sydney, Australia. Abstract: With thousands of RDF data sources available on the Web covering disparate and possibly overlapping knowledge domains, the problem of providing high-level descriptions (in the form of metadata) of their content becomes crucial. In this paper we introduce a theoretical framework for describing data sources in terms of their completeness. We show how existing data sources can be described with completeness statements expressed in RDF. We then focus on the problem of the completeness of query answering over plain and RDFS data sources augmented with completeness statements. Finally, we present an extension of the completeness framework for federated data sources. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iswc13-181206030111-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This was presented at ISWC 2013 in Sydney, Australia. Abstract: With thousands of RDF data sources available on the Web covering disparate and possibly overlapping knowledge domains, the problem of providing high-level descriptions (in the form of metadata) of their content becomes crucial. In this paper we introduce a theoretical framework for describing data sources in terms of their completeness. We show how existing data sources can be described with completeness statements expressed in RDF. We then focus on the problem of the completeness of query answering over plain and RDFS data sources augmented with completeness statements. Finally, we present an extension of the completeness framework for federated data sources.
[ISWC 2013] Completeness statements about RDF data sources and their use for query answering from Fariz Darari
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Testing in Python: doctest and unittest (Updated) /slideshow/testing-in-python-doctest-and-unittest-updated/125021392 testing-181205083918
A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.]]>

A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.]]>
Wed, 05 Dec 2018 08:39:18 GMT /slideshow/testing-in-python-doctest-and-unittest-updated/125021392 fadirra@slideshare.net(fadirra) Testing in Python: doctest and unittest (Updated) fadirra A glance in how to conduct code testing in Python. doctest and unittest are covered briefly. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/testing-181205083918-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.
Testing in Python: doctest and unittest (Updated) from Fariz Darari
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Testing in Python: doctest and unittest /slideshow/testing-in-python-doctest-and-unittest/124878578 testing-181204062136
A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.]]>

A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.]]>
Tue, 04 Dec 2018 06:21:36 GMT /slideshow/testing-in-python-doctest-and-unittest/124878578 fadirra@slideshare.net(fadirra) Testing in Python: doctest and unittest fadirra A glance in how to conduct code testing in Python. doctest and unittest are covered briefly. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/testing-181204062136-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A glance in how to conduct code testing in Python. doctest and unittest are covered briefly.
Testing in Python: doctest and unittest from Fariz Darari
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Dissertation Defense - Managing and Consuming Completeness Information for RDF Data Sources /slideshow/dissertation-defense-managing-and-consuming-completeness-information-for-rdf-data-sources/118260015 defensebz-181005055243
The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children of Barack Obama and the crew of Apollo 11. This thesis aims to study how to manage and consume completeness information about Semantic Web data. In particular, we first discuss how completeness information can guarantee the completeness of query answering. Next, we propose optimization techniques of completeness reasoning and conduct experimental evaluations to show the feasibility of our approaches. We also provide a technique to check the soundness of queries with negation via reduction to query completeness checking. We further enrich completeness information with timestamps, enabling query answers to be checked up to when they are complete. We then introduce two demonstrators, i.e., CORNER and COOL-WD, to show how our completeness framework can be realized. Finally, we investigate an automated method to generate completeness statements from text on the Web via relation cardinality extraction.]]>

The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children of Barack Obama and the crew of Apollo 11. This thesis aims to study how to manage and consume completeness information about Semantic Web data. In particular, we first discuss how completeness information can guarantee the completeness of query answering. Next, we propose optimization techniques of completeness reasoning and conduct experimental evaluations to show the feasibility of our approaches. We also provide a technique to check the soundness of queries with negation via reduction to query completeness checking. We further enrich completeness information with timestamps, enabling query answers to be checked up to when they are complete. We then introduce two demonstrators, i.e., CORNER and COOL-WD, to show how our completeness framework can be realized. Finally, we investigate an automated method to generate completeness statements from text on the Web via relation cardinality extraction.]]>
Fri, 05 Oct 2018 05:52:43 GMT /slideshow/dissertation-defense-managing-and-consuming-completeness-information-for-rdf-data-sources/118260015 fadirra@slideshare.net(fadirra) Dissertation Defense - Managing and Consuming Completeness Information for RDF Data Sources fadirra The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children of Barack Obama and the crew of Apollo 11. This thesis aims to study how to manage and consume completeness information about Semantic Web data. In particular, we first discuss how completeness information can guarantee the completeness of query answering. Next, we propose optimization techniques of completeness reasoning and conduct experimental evaluations to show the feasibility of our approaches. We also provide a technique to check the soundness of queries with negation via reduction to query completeness checking. We further enrich completeness information with timestamps, enabling query answers to be checked up to when they are complete. We then introduce two demonstrators, i.e., CORNER and COOL-WD, to show how our completeness framework can be realized. Finally, we investigate an automated method to generate completeness statements from text on the Web via relation cardinality extraction. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/defensebz-181005055243-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The ever increasing amount of Semantic Web data gives rise to the question: How complete is the data? Though generally data on the Semantic Web is incomplete, many parts of data are indeed complete, such as the children of Barack Obama and the crew of Apollo 11. This thesis aims to study how to manage and consume completeness information about Semantic Web data. In particular, we first discuss how completeness information can guarantee the completeness of query answering. Next, we propose optimization techniques of completeness reasoning and conduct experimental evaluations to show the feasibility of our approaches. We also provide a technique to check the soundness of queries with negation via reduction to query completeness checking. We further enrich completeness information with timestamps, enabling query answers to be checked up to when they are complete. We then introduce two demonstrators, i.e., CORNER and COOL-WD, to show how our completeness framework can be realized. Finally, we investigate an automated method to generate completeness statements from text on the Web via relation cardinality extraction.
Dissertation Defense - Managing and Consuming Completeness Information for RDF Data Sources from Fariz Darari
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Research Writing - 2018.07.18 /slideshow/research-writing-20180718/106377833 research-writing2018-180718044144
Here I share my experiences in doing research and writing its results, hope they may be useful!]]>

Here I share my experiences in doing research and writing its results, hope they may be useful!]]>
Wed, 18 Jul 2018 04:41:44 GMT /slideshow/research-writing-20180718/106377833 fadirra@slideshare.net(fadirra) Research Writing - 2018.07.18 fadirra Here I share my experiences in doing research and writing its results, hope they may be useful! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/research-writing2018-180718044144-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Here I share my experiences in doing research and writing its results, hope they may be useful!
Research Writing - 2018.07.18 from Fariz Darari
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KOI - Knowledge Of Incidents - SemEval 2018 /slideshow/koi-knowledge-of-incidents-semeval-2018/100828463 paramitamirzakoiatsemeval-2018task5-180606004351
We present KOI (Knowledge Of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such as "How many killing incidents happened in 2017 that involve Sean?" The required steps in building the KG include: (i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling; (ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population. 際際滷s made and presented by Paramita.]]>

We present KOI (Knowledge Of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such as "How many killing incidents happened in 2017 that involve Sean?" The required steps in building the KG include: (i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling; (ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population. 際際滷s made and presented by Paramita.]]>
Wed, 06 Jun 2018 00:43:51 GMT /slideshow/koi-knowledge-of-incidents-semeval-2018/100828463 fadirra@slideshare.net(fadirra) KOI - Knowledge Of Incidents - SemEval 2018 fadirra We present KOI (Knowledge Of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such as "How many killing incidents happened in 2017 that involve Sean?" The required steps in building the KG include: (i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling; (ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population. 際際滷s made and presented by Paramita. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/paramitamirzakoiatsemeval-2018task5-180606004351-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We present KOI (Knowledge Of Incidents), a system that given news articles as input, builds a knowledge graph (KOI-KG) of incidental events. KOI-KG can then be used to efficiently answer questions such as &quot;How many killing incidents happened in 2017 that involve Sean?&quot; The required steps in building the KG include: (i) document preprocessing involving word sense disambiguation, named-entity recognition, temporal expression recognition and normalization, and semantic role labeling; (ii) incidental event extraction and coreference resolution via document clustering; and (iii) KG construction and population. 際際滷s made and presented by Paramita.
KOI - Knowledge Of Incidents - SemEval 2018 from Fariz Darari
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https://cdn.slidesharecdn.com/profile-photo-fadirra-48x48.jpg?cb=1741229078 Semantic Web, Data Quality, Computational Logic, Text Mining https://cdn.slidesharecdn.com/ss_thumbnails/wikidataxmuseumrevfinultimate-220519005058-9c049632-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-x-museum-hari-museum-internasional-2022-wmid/251809500 Data X Museum - Hari M... https://cdn.slidesharecdn.com/ss_thumbnails/publicquiz-01-midterm-solutions-220323103935-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/public-quiz01midtermsolutionspdf/251407951 [PUBLIC] quiz-01-midte... https://cdn.slidesharecdn.com/ss_thumbnails/freeaikit-gametheory-200514233154-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/free-ai-kit-game-theory/233990684 Free AI Kit - Game Theory