際際滷shows by User: MariaPovedaVillalon / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MariaPovedaVillalon / Wed, 02 Feb 2022 09:52:09 GMT 際際滷Share feed for 際際滷shows by User: MariaPovedaVillalon Ontology development basic tools /slideshow/ontology-development-basic-tools/251096744 tools-marriapoveda-220202095209
Basic ontology development workflow and related tools]]>

Basic ontology development workflow and related tools]]>
Wed, 02 Feb 2022 09:52:09 GMT /slideshow/ontology-development-basic-tools/251096744 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Ontology development basic tools MariaPovedaVillalon Basic ontology development workflow and related tools <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/tools-marriapoveda-220202095209-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Basic ontology development workflow and related tools
Ontology development basic tools from Mar蕷a Poveda Villaln
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Chowlk notation /MariaPovedaVillalon/chowlk-notation chowlknotation-mpv-v1-210727164947
Description of the Chowlk notation and converter https://chowlk.linkeddata.es/ See also DOI https://doi.org/10.1007/978-3-030-80418-3_8 ]]>

Description of the Chowlk notation and converter https://chowlk.linkeddata.es/ See also DOI https://doi.org/10.1007/978-3-030-80418-3_8 ]]>
Tue, 27 Jul 2021 16:49:46 GMT /MariaPovedaVillalon/chowlk-notation MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Chowlk notation MariaPovedaVillalon Description of the Chowlk notation and converter https://chowlk.linkeddata.es/ See also DOI https://doi.org/10.1007/978-3-030-80418-3_8 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chowlknotation-mpv-v1-210727164947-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Description of the Chowlk notation and converter https://chowlk.linkeddata.es/ See also DOI https://doi.org/10.1007/978-3-030-80418-3_8
Chowlk notation from Mar蕷a Poveda Villaln
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Coming to terms to FAIR semantics /slideshow/coming-to-terms-to-fair-semantics/238494450 slideshareversion-comingtotermstofairsemantics-ekaw-2020-200915125554
Presentation of the "Coming to terms to FAIR semantics" paper for 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020). ]]>

Presentation of the "Coming to terms to FAIR semantics" paper for 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020). ]]>
Tue, 15 Sep 2020 12:55:54 GMT /slideshow/coming-to-terms-to-fair-semantics/238494450 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Coming to terms to FAIR semantics MariaPovedaVillalon Presentation of the "Coming to terms to FAIR semantics" paper for 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slideshareversion-comingtotermstofairsemantics-ekaw-2020-200915125554-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of the &quot;Coming to terms to FAIR semantics&quot; paper for 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020).
Coming to terms to FAIR semantics from Mar蕷a Poveda Villaln
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New trends in ontological engineering, practices and tools /MariaPovedaVillalon/new-trends-in-ontological-engineering-practices-and-tools mpoveda-saintetienne-2018-180606132554
Due to the increasing uptake of semantic technologies, ontologies are becoming part of a growing number of software development projects. As a result, ontology development teams have to combine their activities with software development practices. In this presentation some practices, tools and examples of new trends in ontological engineering are provided.]]>

Due to the increasing uptake of semantic technologies, ontologies are becoming part of a growing number of software development projects. As a result, ontology development teams have to combine their activities with software development practices. In this presentation some practices, tools and examples of new trends in ontological engineering are provided.]]>
Wed, 06 Jun 2018 13:25:54 GMT /MariaPovedaVillalon/new-trends-in-ontological-engineering-practices-and-tools MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) New trends in ontological engineering, practices and tools MariaPovedaVillalon Due to the increasing uptake of semantic technologies, ontologies are becoming part of a growing number of software development projects. As a result, ontology development teams have to combine their activities with software development practices. In this presentation some practices, tools and examples of new trends in ontological engineering are provided. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpoveda-saintetienne-2018-180606132554-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Due to the increasing uptake of semantic technologies, ontologies are becoming part of a growing number of software development projects. As a result, ontology development teams have to combine their activities with software development practices. In this presentation some practices, tools and examples of new trends in ontological engineering are provided.
New trends in ontological engineering, practices and tools from Mar蕷a Poveda Villaln
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Publishing Linked Open Data on the Web & the Role of Ontologies /slideshow/publishing-linked-open-data-on-the-web-the-role-of-ontologies/92861492 4-april-2018v1reduced-180404120751
Introduction to semantic web and ontologies at IRSTEA]]>

Introduction to semantic web and ontologies at IRSTEA]]>
Wed, 04 Apr 2018 12:07:51 GMT /slideshow/publishing-linked-open-data-on-the-web-the-role-of-ontologies/92861492 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Publishing Linked Open Data on the Web & the Role of Ontologies MariaPovedaVillalon Introduction to semantic web and ontologies at IRSTEA <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/4-april-2018v1reduced-180404120751-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to semantic web and ontologies at IRSTEA
Publishing Linked Open Data on the Web & the Role of Ontologies from Mar蕷a Poveda Villaln
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Introducci坦n a la web sem叩ntica https://es.slideshare.net/slideshow/introduccin-a-la-web-semntica-83328644/83328644 mpoveda-civictech-nov-2017-171204150236
Presentaci坦n sobre conceptos b叩sicos de web sem叩ntica y datos enlazados en CivicTech meetup, noviembre 2017.]]>

Presentaci坦n sobre conceptos b叩sicos de web sem叩ntica y datos enlazados en CivicTech meetup, noviembre 2017.]]>
Mon, 04 Dec 2017 15:02:36 GMT https://es.slideshare.net/slideshow/introduccin-a-la-web-semntica-83328644/83328644 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Introducci坦n a la web sem叩ntica MariaPovedaVillalon Presentaci坦n sobre conceptos b叩sicos de web sem叩ntica y datos enlazados en CivicTech meetup, noviembre 2017. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpoveda-civictech-nov-2017-171204150236-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentaci坦n sobre conceptos b叩sicos de web sem叩ntica y datos enlazados en CivicTech meetup, noviembre 2017.
from Mar蕷a Poveda Villaln
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Semantic Discovery in the Web of Things /slideshow/semantic-discovery-in-the-web-of-things/76663875 enwot-fserenaetalv3-170605172028
Presentation for the paper: "Semantic Discovery in the Web of Things" at http://sisinflab.poliba.it/EnWoT/2017/ Abstract: While the number of things present in the Web grows, the ability of discovering such things in order to successfully interact with them becomes a challenge, mainly due to heterogeneity. The contribution of this paper is two-fold. First, an ontology-based approach to leverage web things discovery that is transparent to the syntax, protocols and formats used in things interfaces is described. Second, a semantic model for describing web things and how to extract and understand the relevant information for discovery is proposed. ]]>

Presentation for the paper: "Semantic Discovery in the Web of Things" at http://sisinflab.poliba.it/EnWoT/2017/ Abstract: While the number of things present in the Web grows, the ability of discovering such things in order to successfully interact with them becomes a challenge, mainly due to heterogeneity. The contribution of this paper is two-fold. First, an ontology-based approach to leverage web things discovery that is transparent to the syntax, protocols and formats used in things interfaces is described. Second, a semantic model for describing web things and how to extract and understand the relevant information for discovery is proposed. ]]>
Mon, 05 Jun 2017 17:20:28 GMT /slideshow/semantic-discovery-in-the-web-of-things/76663875 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Semantic Discovery in the Web of Things MariaPovedaVillalon Presentation for the paper: "Semantic Discovery in the Web of Things" at http://sisinflab.poliba.it/EnWoT/2017/ Abstract: While the number of things present in the Web grows, the ability of discovering such things in order to successfully interact with them becomes a challenge, mainly due to heterogeneity. The contribution of this paper is two-fold. First, an ontology-based approach to leverage web things discovery that is transparent to the syntax, protocols and formats used in things interfaces is described. Second, a semantic model for describing web things and how to extract and understand the relevant information for discovery is proposed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/enwot-fserenaetalv3-170605172028-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation for the paper: &quot;Semantic Discovery in the Web of Things&quot; at http://sisinflab.poliba.it/EnWoT/2017/ Abstract: While the number of things present in the Web grows, the ability of discovering such things in order to successfully interact with them becomes a challenge, mainly due to heterogeneity. The contribution of this paper is two-fold. First, an ontology-based approach to leverage web things discovery that is transparent to the syntax, protocols and formats used in things interfaces is described. Second, a semantic model for describing web things and how to extract and understand the relevant information for discovery is proposed.
Semantic Discovery in the Web of Things from Mar蕷a Poveda Villaln
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Linked Open Vocabularies /slideshow/linked-open-vocabularies/74245270 mpoveda-lov-170403142402
Introduction to Linked Open Vocabularies http://lov.okfn.org/ during EUDAT2017 https://eudat.eu/events/trainings/eudat-semantic-working-group-at-9th-rda-plenary-barcelona-3-4-april-2017]]>

Introduction to Linked Open Vocabularies http://lov.okfn.org/ during EUDAT2017 https://eudat.eu/events/trainings/eudat-semantic-working-group-at-9th-rda-plenary-barcelona-3-4-april-2017]]>
Mon, 03 Apr 2017 14:24:02 GMT /slideshow/linked-open-vocabularies/74245270 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Linked Open Vocabularies MariaPovedaVillalon Introduction to Linked Open Vocabularies http://lov.okfn.org/ during EUDAT2017 https://eudat.eu/events/trainings/eudat-semantic-working-group-at-9th-rda-plenary-barcelona-3-4-april-2017 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpoveda-lov-170403142402-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to Linked Open Vocabularies http://lov.okfn.org/ during EUDAT2017 https://eudat.eu/events/trainings/eudat-semantic-working-group-at-9th-rda-plenary-barcelona-3-4-april-2017
Linked Open Vocabularies from Mar蕷a Poveda Villaln
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OEG-Tools for supporting Ontology Engineering /slideshow/oegtools-for-supporting-ontology-engineering/64249860 oetoolsontoologymaster-160721140948
Some tools developed at OEG (Ontology Engineering Group) for facilitating ontology engineering activities as evaluation, documentation, releasing and publication.]]>

Some tools developed at OEG (Ontology Engineering Group) for facilitating ontology engineering activities as evaluation, documentation, releasing and publication.]]>
Thu, 21 Jul 2016 14:09:48 GMT /slideshow/oegtools-for-supporting-ontology-engineering/64249860 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) OEG-Tools for supporting Ontology Engineering MariaPovedaVillalon Some tools developed at OEG (Ontology Engineering Group) for facilitating ontology engineering activities as evaluation, documentation, releasing and publication. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/oetoolsontoologymaster-160721140948-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Some tools developed at OEG (Ontology Engineering Group) for facilitating ontology engineering activities as evaluation, documentation, releasing and publication.
OEG-Tools for supporting Ontology Engineering from Mar蕷a Poveda Villaln
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Detr叩s de un gran dataset siempre hay un gran vocabulario https://es.slideshare.net/slideshow/detrs-de-un-gran-dataset-siempre-hay-un-gran-vocabulario/61774296 mpovedajpd2016v0-160507153936
Qu辿 son las ontolog鱈as y c坦mo desarrollarlas (gu鱈a 101).]]>

Qu辿 son las ontolog鱈as y c坦mo desarrollarlas (gu鱈a 101).]]>
Sat, 07 May 2016 15:39:36 GMT https://es.slideshare.net/slideshow/detrs-de-un-gran-dataset-siempre-hay-un-gran-vocabulario/61774296 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Detr叩s de un gran dataset siempre hay un gran vocabulario MariaPovedaVillalon Qu辿 son las ontolog鱈as y c坦mo desarrollarlas (gu鱈a 101). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpovedajpd2016v0-160507153936-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Qu辿 son las ontolog鱈as y c坦mo desarrollarlas (gu鱈a 101).
from Mar蕷a Poveda Villaln
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Ontology Evaluation: a pitfall-based approach to ontology diagnosis /slideshow/ontology-evaluation-a-pitfallbased-approach-to-ontology-diagnosis/58271071 noanimapovedathesisv7-160215112942
Ontology evaluation, which includes ontology diagnosis and repair, is a complex activity that should be carried out in every ontology development project, because it checks for the technical quality of the ontology. However, there is an important gap between the methodological work about ontology evaluation and the tools that support such an activity. More precisely, not many approaches provide clear guidance about how to diagnose ontologies and how to repair them accordingly. This thesis aims to advance the current state of the art of ontology evaluation, specifically in the ontology diagnosis activity. The main goals of this thesis are (a) to help ontology engineers to diagnose their ontologies in order to find common pitfalls and (b) to lessen the effort required from them by providing the suitable technological support. This thesis presents the following main contributions: A catalogue that describes 41 pitfalls that ontology developers might include in their ontologies. A quality model for ontology diagnose that aligns the pitfall catalogue to existing quality models for semantic technologies. The design and implementation of 48 methods for detecting 33 out of the 41 pitfalls defined in the catalogue. A system called OOPS! (OntOlogy Pitfall Scanner!) that allows ontology engineers to (semi)automatically diagnose their ontologies. According to the feedback gathered and satisfaction tests carried out, the approach developed and presented in this thesis effectively helps users to increase the quality of their ontologies. At the time of writing this thesis, OOPS! has been broadly accepted by a high number of users worldwide and has been used around 3000 times from 60 different countries. OOPS! is integrated with third-party software and is locally installed in private enterprises being used both for ontology development activities and training courses.]]>

Ontology evaluation, which includes ontology diagnosis and repair, is a complex activity that should be carried out in every ontology development project, because it checks for the technical quality of the ontology. However, there is an important gap between the methodological work about ontology evaluation and the tools that support such an activity. More precisely, not many approaches provide clear guidance about how to diagnose ontologies and how to repair them accordingly. This thesis aims to advance the current state of the art of ontology evaluation, specifically in the ontology diagnosis activity. The main goals of this thesis are (a) to help ontology engineers to diagnose their ontologies in order to find common pitfalls and (b) to lessen the effort required from them by providing the suitable technological support. This thesis presents the following main contributions: A catalogue that describes 41 pitfalls that ontology developers might include in their ontologies. A quality model for ontology diagnose that aligns the pitfall catalogue to existing quality models for semantic technologies. The design and implementation of 48 methods for detecting 33 out of the 41 pitfalls defined in the catalogue. A system called OOPS! (OntOlogy Pitfall Scanner!) that allows ontology engineers to (semi)automatically diagnose their ontologies. According to the feedback gathered and satisfaction tests carried out, the approach developed and presented in this thesis effectively helps users to increase the quality of their ontologies. At the time of writing this thesis, OOPS! has been broadly accepted by a high number of users worldwide and has been used around 3000 times from 60 different countries. OOPS! is integrated with third-party software and is locally installed in private enterprises being used both for ontology development activities and training courses.]]>
Mon, 15 Feb 2016 11:29:42 GMT /slideshow/ontology-evaluation-a-pitfallbased-approach-to-ontology-diagnosis/58271071 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Ontology Evaluation: a pitfall-based approach to ontology diagnosis MariaPovedaVillalon Ontology evaluation, which includes ontology diagnosis and repair, is a complex activity that should be carried out in every ontology development project, because it checks for the technical quality of the ontology. However, there is an important gap between the methodological work about ontology evaluation and the tools that support such an activity. More precisely, not many approaches provide clear guidance about how to diagnose ontologies and how to repair them accordingly. This thesis aims to advance the current state of the art of ontology evaluation, specifically in the ontology diagnosis activity. The main goals of this thesis are (a) to help ontology engineers to diagnose their ontologies in order to find common pitfalls and (b) to lessen the effort required from them by providing the suitable technological support. This thesis presents the following main contributions: A catalogue that describes 41 pitfalls that ontology developers might include in their ontologies. A quality model for ontology diagnose that aligns the pitfall catalogue to existing quality models for semantic technologies. The design and implementation of 48 methods for detecting 33 out of the 41 pitfalls defined in the catalogue. A system called OOPS! (OntOlogy Pitfall Scanner!) that allows ontology engineers to (semi)automatically diagnose their ontologies. According to the feedback gathered and satisfaction tests carried out, the approach developed and presented in this thesis effectively helps users to increase the quality of their ontologies. At the time of writing this thesis, OOPS! has been broadly accepted by a high number of users worldwide and has been used around 3000 times from 60 different countries. OOPS! is integrated with third-party software and is locally installed in private enterprises being used both for ontology development activities and training courses. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/noanimapovedathesisv7-160215112942-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ontology evaluation, which includes ontology diagnosis and repair, is a complex activity that should be carried out in every ontology development project, because it checks for the technical quality of the ontology. However, there is an important gap between the methodological work about ontology evaluation and the tools that support such an activity. More precisely, not many approaches provide clear guidance about how to diagnose ontologies and how to repair them accordingly. This thesis aims to advance the current state of the art of ontology evaluation, specifically in the ontology diagnosis activity. The main goals of this thesis are (a) to help ontology engineers to diagnose their ontologies in order to find common pitfalls and (b) to lessen the effort required from them by providing the suitable technological support. This thesis presents the following main contributions: A catalogue that describes 41 pitfalls that ontology developers might include in their ontologies. A quality model for ontology diagnose that aligns the pitfall catalogue to existing quality models for semantic technologies. The design and implementation of 48 methods for detecting 33 out of the 41 pitfalls defined in the catalogue. A system called OOPS! (OntOlogy Pitfall Scanner!) that allows ontology engineers to (semi)automatically diagnose their ontologies. According to the feedback gathered and satisfaction tests carried out, the approach developed and presented in this thesis effectively helps users to increase the quality of their ontologies. At the time of writing this thesis, OOPS! has been broadly accepted by a high number of users worldwide and has been used around 3000 times from 60 different countries. OOPS! is integrated with third-party software and is locally installed in private enterprises being used both for ontology development activities and training courses.
Ontology Evaluation: a pitfall-based approach to ontology diagnosis from Mar蕷a Poveda Villaln
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Ee bdm ws-v1 /slideshow/ee-bdm-wsv1/39247207 eebdm-ws-v1-140918095151-phpapp01
際際滷s from the presentation "Building an ontology catalogue for smart cities" at 10th European Conference on Product & Process Modelling]]>

際際滷s from the presentation "Building an ontology catalogue for smart cities" at 10th European Conference on Product & Process Modelling]]>
Thu, 18 Sep 2014 09:51:51 GMT /slideshow/ee-bdm-wsv1/39247207 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Ee bdm ws-v1 MariaPovedaVillalon 際際滷s from the presentation "Building an ontology catalogue for smart cities" at 10th European Conference on Product & Process Modelling <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eebdm-ws-v1-140918095151-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from the presentation &quot;Building an ontology catalogue for smart cities&quot; at 10th European Conference on Product &amp; Process Modelling
Ee bdm ws-v1 from Mar蕷a Poveda Villaln
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A Reuse-based Lightweight Method for Developing Linked Data Ontologies and Vocabularies - ontologysummit2014 /slideshow/mpoveda-ontologysummit13march2014/33460221 mpovedaontologysummit13march2014v0-140413040536-phpapp01
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Sun, 13 Apr 2014 04:05:36 GMT /slideshow/mpoveda-ontologysummit13march2014/33460221 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) A Reuse-based Lightweight Method for Developing Linked Data Ontologies and Vocabularies - ontologysummit2014 MariaPovedaVillalon <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpovedaontologysummit13march2014v0-140413040536-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
A Reuse-based Lightweight Method for Developing Linked Data Ontologies and Vocabularies - ontologysummit2014 from Mar蕷a Poveda Villaln
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Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web /slideshow/detecting-good-practices-and-pitfalls-when-publishing-vocabularies-on-the-web/27648626 wop2013v1-131028085145-phpapp01
The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.]]>

The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.]]>
Mon, 28 Oct 2013 08:51:45 GMT /slideshow/detecting-good-practices-and-pitfalls-when-publishing-vocabularies-on-the-web/27648626 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web MariaPovedaVillalon The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wop2013v1-131028085145-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The uptake of Linked Data (LD) has promoted the proliferation of datasets and their associated ontologies bringing their semantic to the data being published. These ontologies should be evaluated at different stages, both during their development and their publication. As important as correctly modelling the intended part of the world to be captured in an ontology, is publishing, sharing and facilitating the (re)use of the obtained model. In this paper, 11 evaluation characteristics, with respect to publish, share and facilitate the reuse, are proposed. In particular, 6 good practices and 5 pitfalls are presented, together with their associated detection methods. In addition, a grid-based rating system is generated showing the results of analysing the vocabularies gathered in LOV repository. Both contributions, the set of evaluation characteristics and the grid system, could be useful for ontologists in order to reuse existing LD vocabularies or to check the one being built.
Detecting Good Practices and Pitfalls when Publishing Vocabularies on the Web from Mar蕷a Poveda Villaln
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The Landscape of Ontology Reuse in Linked Data - OEDW2012 /slideshow/mpoveda-oedw2012v1/14796185 mpovedaoedw2012v1-121019024559-phpapp02
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Fri, 19 Oct 2012 02:45:55 GMT /slideshow/mpoveda-oedw2012v1/14796185 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) The Landscape of Ontology Reuse in Linked Data - OEDW2012 MariaPovedaVillalon <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpovedaoedw2012v1-121019024559-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
The Landscape of Ontology Reuse in Linked Data - OEDW2012 from Mar蕷a Poveda Villaln
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Validating ontologies with OOPS! - EKAW2012 /slideshow/validating-ontologies-with-oops-ekaw2012/14796147 mpovedaekaw2012v3-121019024227-phpapp02
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Fri, 19 Oct 2012 02:42:24 GMT /slideshow/validating-ontologies-with-oops-ekaw2012/14796147 MariaPovedaVillalon@slideshare.net(MariaPovedaVillalon) Validating ontologies with OOPS! - EKAW2012 MariaPovedaVillalon <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mpovedaekaw2012v3-121019024227-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Validating ontologies with OOPS! - EKAW2012 from Mar蕷a Poveda Villaln
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