際際滷shows by User: PieterHeyvaert / http://www.slideshare.net/images/logo.gif 際際滷shows by User: PieterHeyvaert / Sun, 22 Oct 2017 14:12:28 GMT 際際滷Share feed for 際際滷shows by User: PieterHeyvaert Semi-Automatic Example-Driven Linked Data Mapping Creation /slideshow/semiautomatic-exampledriven-linked-data-mapping-creation/81067220 iswc2017-presentation-171022141228
Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available they do not use the knowledge provided by these examples, resulting in Linked Data that might not be as desired. This in turn requires manual updates of the rules. These examples can in certain cases be easy to create and offer valuable knowledge relevant for the mapping process, such as which data corresponds to entities and attributes, how this data is an- notated and modeled, and how different entities are linked to each other. In this paper, we introduce a semi-automatic approach to create rules based on examples for both the existing data and corresponding Linked Data. Furthermore, we made the approach available via the RMLEditor, making it readily accessible for users through a graphical user interface. The proposed approach provides a first attempt to generate a complete Linked Dataset based on user-provided examples, by creating an initial set of rules for the users. https://pieterheyvaert.com/research/publications/heyvaert_ld4ie_2017/]]>
Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available they do not use the knowledge provided by these examples, resulting in Linked Data that might not be as desired. This in turn requires manual updates of the rules. These examples can in certain cases be easy to create and offer valuable knowledge relevant for the mapping process, such as which data corresponds to entities and attributes, how this data is an- notated and modeled, and how different entities are linked to each other. In this paper, we introduce a semi-automatic approach to create rules based on examples for both the existing data and corresponding Linked Data. Furthermore, we made the approach available via the RMLEditor, making it readily accessible for users through a graphical user interface. The proposed approach provides a first attempt to generate a complete Linked Dataset based on user-provided examples, by creating an initial set of rules for the users. https://pieterheyvaert.com/research/publications/heyvaert_ld4ie_2017/]]> Sun, 22 Oct 2017 14:12:28 GMT /slideshow/semiautomatic-exampledriven-linked-data-mapping-creation/81067220 PieterHeyvaert@slideshare.net(PieterHeyvaert) Semi-Automatic Example-Driven Linked Data Mapping Creation PieterHeyvaert Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available they do not use the knowledge provided by these examples, resulting in Linked Data that might not be as desired. This in turn requires manual updates of the rules. These examples can in certain cases be easy to create and offer valuable knowledge relevant for the mapping process, such as which data corresponds to entities and attributes, how this data is an- notated and modeled, and how different entities are linked to each other. In this paper, we introduce a semi-automatic approach to create rules based on examples for both the existing data and corresponding Linked Data. Furthermore, we made the approach available via the RMLEditor, making it readily accessible for users through a graphical user interface. The proposed approach provides a first attempt to generate a complete Linked Dataset based on user-provided examples, by creating an initial set of rules for the users. https://pieterheyvaert.com/research/publications/heyvaert_ld4ie_2017/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iswc2017-presentation-171022141228-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Linked Data can be generated by applying mapping rules on existing (semi-)structured data. The manual creation of these rules involves a costly process for users. Therefore, (semi-)automatic approaches have been developed to assist users. Although, they provide promising results, in use cases where examples of the desired Linked Data are available they do not use the knowledge provided by these examples, resulting in Linked Data that might not be as desired. This in turn requires manual updates of the rules. These examples can in certain cases be easy to create and offer valuable knowledge relevant for the mapping process, such as which data corresponds to entities and attributes, how this data is an- notated and modeled, and how different entities are linked to each other. In this paper, we introduce a semi-automatic approach to create rules based on examples for both the existing data and corresponding Linked Data. Furthermore, we made the approach available via the RMLEditor, making it readily accessible for users through a graphical user interface. The proposed approach provides a first attempt to generate a complete Linked Dataset based on user-provided examples, by creating an initial set of rules for the users. https://pieterheyvaert.com/research/publications/heyvaert_ld4ie_2017/
Semi-Automatic Example-Driven Linked Data Mapping Creation from Pieter Heyvaert
]]> 605 2 https://cdn.slidesharecdn.com/ss_thumbnails/iswc2017-presentation-171022141228-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge /slideshow/ontologybased-data-access-mapping-generation-using-data-schema-query-and-mapping-knowledge/76475637 presentation-170530073929
ESWC 2017 PhD Symposium presentation about 'Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge'.]]>
ESWC 2017 PhD Symposium presentation about 'Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge'.]]> Tue, 30 May 2017 07:39:28 GMT /slideshow/ontologybased-data-access-mapping-generation-using-data-schema-query-and-mapping-knowledge/76475637 PieterHeyvaert@slideshare.net(PieterHeyvaert) Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge PieterHeyvaert ESWC 2017 PhD Symposium presentation about 'Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge'. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-170530073929-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ESWC 2017 PhD Symposium presentation about &#39;Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge&#39;.
Ontology-Based Data Access Mapping Generation using Data, Schema, Query, and Mapping Knowledge from Pieter Heyvaert
]]> 447 3 https://cdn.slidesharecdn.com/ss_thumbnails/presentation-170530073929-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards a Uniform User Interface for Editing Mapping Definitions /slideshow/towards-a-uniform-user-interface-for-editing-mapping-definitions/71332855 iesdiswc2015-170124145026
presented at ISWC 2015]]>
presented at ISWC 2015]]> Tue, 24 Jan 2017 14:50:26 GMT /slideshow/towards-a-uniform-user-interface-for-editing-mapping-definitions/71332855 PieterHeyvaert@slideshare.net(PieterHeyvaert) Towards a Uniform User Interface for Editing Mapping Definitions PieterHeyvaert presented at ISWC 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iesdiswc2015-170124145026-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> presented at ISWC 2015
Towards a Uniform User Interface for Editing Mapping Definitions from Pieter Heyvaert
]]> 384 4 https://cdn.slidesharecdn.com/ss_thumbnails/iesdiswc2015-170124145026-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics /slideshow/using-epub-3-and-the-open-web-platform-for-enhanced-presentation-and-machineunderstandable-metadata-for-digital-comics/71332773 f7t73ywnszwjjnygq6pw-signature-1747d55d34985c250bc561f6816dc2b2e50f08ee7611b8a1609ee2b23720a1f6-poli-170124144805
presented at ELPUB 2015]]>
presented at ELPUB 2015]]> Tue, 24 Jan 2017 14:48:05 GMT /slideshow/using-epub-3-and-the-open-web-platform-for-enhanced-presentation-and-machineunderstandable-metadata-for-digital-comics/71332773 PieterHeyvaert@slideshare.net(PieterHeyvaert) Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics PieterHeyvaert presented at ELPUB 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/f7t73ywnszwjjnygq6pw-signature-1747d55d34985c250bc561f6816dc2b2e50f08ee7611b8a1609ee2b23720a1f6-poli-170124144805-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> presented at ELPUB 2015
Using EPUB 3 and the Open Web Platform for Enhanced Presentation and Machine-Understandable Metadata for Digital Comics from Pieter Heyvaert
]]> 392 5 https://cdn.slidesharecdn.com/ss_thumbnails/f7t73ywnszwjjnygq6pw-signature-1747d55d34985c250bc561f6816dc2b2e50f08ee7611b8a1609ee2b23720a1f6-poli-170124144805-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings /slideshow/rmleditor-a-graphbased-mapping-editor-for-linked-data-mappings/62616960 eswc2016-presentation-160601132629
Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to facilitate the editing of mappings. We propose the RMLEditor, a visual graph-based user interface, which allows users to easily define the mappings that deliver the RDF representation of the corresponding raw data. Neither knowledge of the underlying mapping language nor the used technologies is required. The RMLEditor aims to facilitate the editing of mappings, and thereby lowers the barriers to create Linked Data. The RMLEditor is developed for use by data specialists who are partners of (i) a companies-driven pilot and (ii) a community group. The current version of the RMLEditor was validated: participants indicate that it is adequate for its purpose and the graph-based approach enables users to conceive the linked nature of the data.]]>
Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to facilitate the editing of mappings. We propose the RMLEditor, a visual graph-based user interface, which allows users to easily define the mappings that deliver the RDF representation of the corresponding raw data. Neither knowledge of the underlying mapping language nor the used technologies is required. The RMLEditor aims to facilitate the editing of mappings, and thereby lowers the barriers to create Linked Data. The RMLEditor is developed for use by data specialists who are partners of (i) a companies-driven pilot and (ii) a community group. The current version of the RMLEditor was validated: participants indicate that it is adequate for its purpose and the graph-based approach enables users to conceive the linked nature of the data.]]> Wed, 01 Jun 2016 13:26:29 GMT /slideshow/rmleditor-a-graphbased-mapping-editor-for-linked-data-mappings/62616960 PieterHeyvaert@slideshare.net(PieterHeyvaert) RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings PieterHeyvaert Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to facilitate the editing of mappings. We propose the RMLEditor, a visual graph-based user interface, which allows users to easily define the mappings that deliver the RDF representation of the corresponding raw data. Neither knowledge of the underlying mapping language nor the used technologies is required. The RMLEditor aims to facilitate the editing of mappings, and thereby lowers the barriers to create Linked Data. The RMLEditor is developed for use by data specialists who are partners of (i) a companies-driven pilot and (ii) a community group. The current version of the RMLEditor was validated: participants indicate that it is adequate for its purpose and the graph-based approach enables users to conceive the linked nature of the data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eswc2016-presentation-160601132629-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Although several tools have been implemented to generate Linked Data from raw data, users still need to be aware of the underlying technologies and Linked Data principles to use them. Mapping languages enable to detach the mapping definitions from the implementation that executes them. However, no thorough research has been conducted on how to facilitate the editing of mappings. We propose the RMLEditor, a visual graph-based user interface, which allows users to easily define the mappings that deliver the RDF representation of the corresponding raw data. Neither knowledge of the underlying mapping language nor the used technologies is required. The RMLEditor aims to facilitate the editing of mappings, and thereby lowers the barriers to create Linked Data. The RMLEditor is developed for use by data specialists who are partners of (i) a companies-driven pilot and (ii) a community group. The current version of the RMLEditor was validated: participants indicate that it is adequate for its purpose and the graph-based approach enables users to conceive the linked nature of the data.
RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings from Pieter Heyvaert
]]> 1339 6 https://cdn.slidesharecdn.com/ss_thumbnails/eswc2016-presentation-160601132629-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Graph-Based Editing of Linked Data Mappings using the RMLEditor | ESWC2016 Demo Poster /slideshow/graphbased-editing-of-linked-data-mappings-using-the-rmleditor-eswc2016-demo-poster/62530380 eswc2016-demo-pheyvaer-160530092224
Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We demonstrate the RMLEditor: a graphical user interface that utilizes graphs to easily visualize the mappings that deliver the RDF representation of the original data. The required amount of knowledge of the underlying mapping language and the used technologies is kept to a minimum. The RMLEditor lowers the barriers to create Linked Data by aiming to also facilitate the editing of mappings by non-experts.]]>
Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We demonstrate the RMLEditor: a graphical user interface that utilizes graphs to easily visualize the mappings that deliver the RDF representation of the original data. The required amount of knowledge of the underlying mapping language and the used technologies is kept to a minimum. The RMLEditor lowers the barriers to create Linked Data by aiming to also facilitate the editing of mappings by non-experts.]]> Mon, 30 May 2016 09:22:24 GMT /slideshow/graphbased-editing-of-linked-data-mappings-using-the-rmleditor-eswc2016-demo-poster/62530380 PieterHeyvaert@slideshare.net(PieterHeyvaert) Graph-Based Editing of Linked Data Mappings using the RMLEditor | ESWC2016 Demo Poster PieterHeyvaert Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We demonstrate the RMLEditor: a graphical user interface that utilizes graphs to easily visualize the mappings that deliver the RDF representation of the original data. The required amount of knowledge of the underlying mapping language and the used technologies is kept to a minimum. The RMLEditor lowers the barriers to create Linked Data by aiming to also facilitate the editing of mappings by non-experts. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eswc2016-demo-pheyvaer-160530092224-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Linked Data is in many cases generated from (semi-)structured data. This generation is supported by several tools, a number of which use a mapping language to facilitate the Linked Data generation. However, knowledge of this language and other used technologies is required to use the tools, limiting their adoption by non-Semantic Web experts. We demonstrate the RMLEditor: a graphical user interface that utilizes graphs to easily visualize the mappings that deliver the RDF representation of the original data. The required amount of knowledge of the underlying mapping language and the used technologies is kept to a minimum. The RMLEditor lowers the barriers to create Linked Data by aiming to also facilitate the editing of mappings by non-experts.
Graph-Based Editing of Linked Data Mappings using the RMLEditor | ESWC2016 Demo Poster from Pieter Heyvaert
]]> 116 5 https://cdn.slidesharecdn.com/ss_thumbnails/eswc2016-demo-pheyvaer-160530092224-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 FREME (EU Project Networking Session ESWC 2015) /slideshow/freme/48839227 eswc2015euprojectnetworking-150601124039-lva1-app6891
Presentation of FREME at the EU Project Networking Session of ESWC 2015]]>
Presentation of FREME at the EU Project Networking Session of ESWC 2015]]> Mon, 01 Jun 2015 12:40:39 GMT /slideshow/freme/48839227 PieterHeyvaert@slideshare.net(PieterHeyvaert) FREME (EU Project Networking Session ESWC 2015) PieterHeyvaert Presentation of FREME at the EU Project Networking Session of ESWC 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eswc2015euprojectnetworking-150601124039-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of FREME at the EU Project Networking Session of ESWC 2015
FREME (EU Project Networking Session ESWC 2015) from Pieter Heyvaert
]]> 256 2 https://cdn.slidesharecdn.com/ss_thumbnails/eswc2015euprojectnetworking-150601124039-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Buliding a DCAT Merger (SemDev 2015) /slideshow/semdev-2015-buliding/48839096 semdev2015-buildingadcatmerger-150601123652-lva1-app6892
'Building a DCAT Merger' by Pieter Heyvaert, at SemDev 2015, a workshop at ESWC 2015]]>
'Building a DCAT Merger' by Pieter Heyvaert, at SemDev 2015, a workshop at ESWC 2015]]> Mon, 01 Jun 2015 12:36:52 GMT /slideshow/semdev-2015-buliding/48839096 PieterHeyvaert@slideshare.net(PieterHeyvaert) Buliding a DCAT Merger (SemDev 2015) PieterHeyvaert 'Building a DCAT Merger' by Pieter Heyvaert, at SemDev 2015, a workshop at ESWC 2015 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/semdev2015-buildingadcatmerger-150601123652-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> &#39;Building a DCAT Merger&#39; by Pieter Heyvaert, at SemDev 2015, a workshop at ESWC 2015
Buliding a DCAT Merger (SemDev 2015) from Pieter Heyvaert
]]> 320 2 https://cdn.slidesharecdn.com/ss_thumbnails/semdev2015-buildingadcatmerger-150601123652-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-PieterHeyvaert-48x48.jpg?cb=1549972492 https://cdn.slidesharecdn.com/ss_thumbnails/iswc2017-presentation-171022141228-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/semiautomatic-exampledriven-linked-data-mapping-creation/81067220 Semi-Automatic Exampl... https://cdn.slidesharecdn.com/ss_thumbnails/presentation-170530073929-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ontologybased-data-access-mapping-generation-using-data-schema-query-and-mapping-knowledge/76475637 Ontology-Based Data Ac... https://cdn.slidesharecdn.com/ss_thumbnails/iesdiswc2015-170124145026-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/towards-a-uniform-user-interface-for-editing-mapping-definitions/71332855 Towards a Uniform User...