ºÝºÝߣshows by User: FranckMichel / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: FranckMichel / Tue, 25 Oct 2022 12:05:37 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: FranckMichel ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archive /slideshow/issa-generic-pipeline-knowledge-model-and-visualization-tools-to-help-scientists-search-and-make-sense-of-a-scientific-archive/253793500 iswc-221025120537-5fbca63b
ºÝºÝߣs of my talk at the ISWC 2022 conference. Here is the article published in the ressources track: https://hal.archives-ouvertes.fr/hal-03807744v1]]>
ºÝºÝߣs of my talk at the ISWC 2022 conference. Here is the article published in the ressources track: https://hal.archives-ouvertes.fr/hal-03807744v1]]> Tue, 25 Oct 2022 12:05:37 GMT /slideshow/issa-generic-pipeline-knowledge-model-and-visualization-tools-to-help-scientists-search-and-make-sense-of-a-scientific-archive/253793500 FranckMichel@slideshare.net(FranckMichel) ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archive FranckMichel ºÝºÝߣs of my talk at the ISWC 2022 conference. Here is the article published in the ressources track: https://hal.archives-ouvertes.fr/hal-03807744v1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iswc-221025120537-5fbca63b-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of my talk at the ISWC 2022 conference. Here is the article published in the ressources track: https://hal.archives-ouvertes.fr/hal-03807744v1
ISSA: Generic Pipeline, Knowledge Model and Visualization tools to Help Scientists Search and Make Sense of a Scientific Archive from Franck Michel
]]> 20 0 https://cdn.slidesharecdn.com/ss_thumbnails/iswc-221025120537-5fbca63b-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 Bioschemas: Marking up biodiversity websites to improve data discovery and web-scale integration /slideshow/bioschemas-marking-up-biodiversity-websites-to-improve-data-discovery-and-webscale-integration/247385165 20210310tdwgwebinar-bioschemas-franckmichel-210429231823
ºÝºÝߣs of the TDWG Webinar I gave on March 10th, 2021. Video: https://www.youtube.com/watch?v=ueg5Fi6kgGA&t=0s]]>
ºÝºÝߣs of the TDWG Webinar I gave on March 10th, 2021. Video: https://www.youtube.com/watch?v=ueg5Fi6kgGA&t=0s]]> Thu, 29 Apr 2021 23:18:23 GMT /slideshow/bioschemas-marking-up-biodiversity-websites-to-improve-data-discovery-and-webscale-integration/247385165 FranckMichel@slideshare.net(FranckMichel) Bioschemas: Marking up biodiversity websites to improve data discovery and web-scale integration FranckMichel ºÝºÝߣs of the TDWG Webinar I gave on March 10th, 2021. Video: https://www.youtube.com/watch?v=ueg5Fi6kgGA&t=0s <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20210310tdwgwebinar-bioschemas-franckmichel-210429231823-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of the TDWG Webinar I gave on March 10th, 2021. Video: https://www.youtube.com/watch?v=ueg5Fi6kgGA&amp;t=0s
Bioschemas: Marking up biodiversity websites to improve data discovery and web-scale integration from Franck Michel
]]> 38 0 https://cdn.slidesharecdn.com/ss_thumbnails/20210310tdwgwebinar-bioschemas-franckmichel-210429231823-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Unleash the Potential of your Website! 180,000 webpages from the French NHM marked up with Bioschemas/Schema.org biodiversity types /slideshow/unleash-the-potential-of-your-website-180000-webpages-from-the-french-nhm-marked-up-with-bioschemasschemaorg-biodiversity-types/239439226 20201021tdwg-bioschemasmnhn-201124131120
ºÝºÝߣs of a presentation I gave at the TDWG 2020 conference. Paper: https://doi.org/10.3897/biss.4.59046 Video: https://www.youtube.com/watch?v=KiAgTWpEkHE]]>
ºÝºÝߣs of a presentation I gave at the TDWG 2020 conference. Paper: https://doi.org/10.3897/biss.4.59046 Video: https://www.youtube.com/watch?v=KiAgTWpEkHE]]> Tue, 24 Nov 2020 13:11:20 GMT /slideshow/unleash-the-potential-of-your-website-180000-webpages-from-the-french-nhm-marked-up-with-bioschemasschemaorg-biodiversity-types/239439226 FranckMichel@slideshare.net(FranckMichel) Unleash the Potential of your Website! 180,000 webpages from the French NHM marked up with Bioschemas/Schema.org biodiversity types FranckMichel ºÝºÝߣs of a presentation I gave at the TDWG 2020 conference. Paper: https://doi.org/10.3897/biss.4.59046 Video: https://www.youtube.com/watch?v=KiAgTWpEkHE <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20201021tdwg-bioschemasmnhn-201124131120-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of a presentation I gave at the TDWG 2020 conference. Paper: https://doi.org/10.3897/biss.4.59046 Video: https://www.youtube.com/watch?v=KiAgTWpEkHE
Unleash the Potential of your Website! 180,000 webpages from the French NHM marked up with Bioschemas/Schema.org biodiversity types from Franck Michel
]]> 22 0 https://cdn.slidesharecdn.com/ss_thumbnails/20201021tdwg-bioschemasmnhn-201124131120-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic alignment Technics /FranckMichel/heterogeneous-data-aggregation-and-querying-at-web-scale-using-semantic-alignment-technics 20190613mastodonscredible-copie-190825020727
Results of the CrEDIBLE project and further works, presented at the final meeting of the "D¨¦fi MASTODONS - Les Big Data en recherche", June 13th 2019 ]]>
Results of the CrEDIBLE project and further works, presented at the final meeting of the "D¨¦fi MASTODONS - Les Big Data en recherche", June 13th 2019 ]]> Sun, 25 Aug 2019 02:07:27 GMT /FranckMichel/heterogeneous-data-aggregation-and-querying-at-web-scale-using-semantic-alignment-technics FranckMichel@slideshare.net(FranckMichel) Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic alignment Technics FranckMichel Results of the CrEDIBLE project and further works, presented at the final meeting of the "D¨¦fi MASTODONS - Les Big Data en recherche", June 13th 2019 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20190613mastodonscredible-copie-190825020727-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Results of the CrEDIBLE project and further works, presented at the final meeting of the &quot;D¨¦fi MASTODONS - Les Big Data en recherche&quot;, June 13th 2019
Heterogeneous Data Aggregation and Querying at Web Scale Using Semantic alignment Technics from Franck Michel
]]> 161 3 https://cdn.slidesharecdn.com/ss_thumbnails/20190613mastodonscredible-copie-190825020727-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Describe and Publish data sets on the web: vocabularies, catalogues, data portals¡­ /slideshow/describe-and-publish-data-sets-on-the-web-vocabularies-catalogues-data-portals/166178992 20181111apsem-vocabsdatasetscatalogues-copie-190825014820
Overview of the vocabularies, catalogues and data portals usable to publish data sets on the web. Presented at the APSEM 2018 days]]>
Overview of the vocabularies, catalogues and data portals usable to publish data sets on the web. Presented at the APSEM 2018 days]]> Sun, 25 Aug 2019 01:48:20 GMT /slideshow/describe-and-publish-data-sets-on-the-web-vocabularies-catalogues-data-portals/166178992 FranckMichel@slideshare.net(FranckMichel) Describe and Publish data sets on the web: vocabularies, catalogues, data portals¡­ FranckMichel Overview of the vocabularies, catalogues and data portals usable to publish data sets on the web. Presented at the APSEM 2018 days <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181111apsem-vocabsdatasetscatalogues-copie-190825014820-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview of the vocabularies, catalogues and data portals usable to publish data sets on the web. Presented at the APSEM 2018 days
Describe and Publish data sets on the web: vocabularies, catalogues, data portals¡­ from Franck Michel
]]> 108 2 https://cdn.slidesharecdn.com/ss_thumbnails/20181111apsem-vocabsdatasetscatalogues-copie-190825014820-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Knowledge Engineering: Semantic web, web of data, linked data /slideshow/knowledge-engineering-semantic-web-web-of-data-linked-data/166177825 20181113apsem-introsw-copie-190825014119
Introduction to the main concepts of Knowledge Engineering from the Semantic Web perspective, given at the APSEM 2018 days]]>
Introduction to the main concepts of Knowledge Engineering from the Semantic Web perspective, given at the APSEM 2018 days]]> Sun, 25 Aug 2019 01:41:19 GMT /slideshow/knowledge-engineering-semantic-web-web-of-data-linked-data/166177825 FranckMichel@slideshare.net(FranckMichel) Knowledge Engineering: Semantic web, web of data, linked data FranckMichel Introduction to the main concepts of Knowledge Engineering from the Semantic Web perspective, given at the APSEM 2018 days <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181113apsem-introsw-copie-190825014119-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Introduction to the main concepts of Knowledge Engineering from the Semantic Web perspective, given at the APSEM 2018 days
Knowledge Engineering: Semantic web, web of data, linked data from Franck Michel
]]> 149 2 https://cdn.slidesharecdn.com/ss_thumbnails/20181113apsem-introsw-copie-190825014119-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards /slideshow/enabling-automatic-discovery-and-querying-of-web-apis-at-web-scale-using-linked-data-standards/145900988 franckmichel-slidesldow2019-190515230939
Presentation of an article published at the 12th workshop on Linked Data on the Web (LDOW2019), at the Web Conference 2019.]]>
Presentation of an article published at the 12th workshop on Linked Data on the Web (LDOW2019), at the Web Conference 2019.]]> Wed, 15 May 2019 23:09:39 GMT /slideshow/enabling-automatic-discovery-and-querying-of-web-apis-at-web-scale-using-linked-data-standards/145900988 FranckMichel@slideshare.net(FranckMichel) Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards FranckMichel Presentation of an article published at the 12th workshop on Linked Data on the Web (LDOW2019), at the Web Conference 2019. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/franckmichel-slidesldow2019-190515230939-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of an article published at the 12th workshop on Linked Data on the Web (LDOW2019), at the Web Conference 2019.
Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards from Franck Michel
]]> 94 1 https://cdn.slidesharecdn.com/ss_thumbnails/franckmichel-slidesldow2019-190515230939-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 Modelling Biodiversity Linked Data: Pragmatism May Narrow Future Opportunities /slideshow/modelling-biodiversity-linked-data-pragmatism-may-narrow-future-opportunities/112368952 michelcontributed32-180831055904
ºÝºÝߣs of a presentation I made at the TDWG+SPNHC 2018 conference in New Zeland. https://hal.archives-ouvertes.fr/hal-01856363v1]]>
ºÝºÝߣs of a presentation I made at the TDWG+SPNHC 2018 conference in New Zeland. https://hal.archives-ouvertes.fr/hal-01856363v1]]> Fri, 31 Aug 2018 05:59:04 GMT /slideshow/modelling-biodiversity-linked-data-pragmatism-may-narrow-future-opportunities/112368952 FranckMichel@slideshare.net(FranckMichel) Modelling Biodiversity Linked Data: Pragmatism May Narrow Future Opportunities FranckMichel ºÝºÝߣs of a presentation I made at the TDWG+SPNHC 2018 conference in New Zeland. https://hal.archives-ouvertes.fr/hal-01856363v1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/michelcontributed32-180831055904-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs of a presentation I made at the TDWG+SPNHC 2018 conference in New Zeland. https://hal.archives-ouvertes.fr/hal-01856363v1
Modelling Biodiversity Linked Data: Pragmatism May Narrow Future Opportunities from Franck Michel
]]> 64 4 https://cdn.slidesharecdn.com/ss_thumbnails/michelcontributed32-180831055904-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Model to Represent Nomenclatural and Taxonomic Information as Linked Data. Application to the French Taxonomic Register, TAXREF /slideshow/a-model-to-represent-nomenclatural-and-taxonomic-information-as-linked-data-application-to-the-french-taxonomic-register-taxref/98419920 presentationtaxref-ld-180524081708
Presentation of an article published at the 2nd International Workshop on Semantics for Biodiversity (S4Biodiv 2017), co-located with ISWC2017. Article: https://hal.archives-ouvertes.fr/hal-01617708 Taxonomic registers are key tools to help us comprehend the diversity of nature. Publishing such registers in the Web of Data, following the standards and best practices of Linked Open Data (LOD), is a way of integrating multiple data sources into a world-scale, biological knowledge base. In this pa-per, we present an on-going work aimed at the publication of TAXREF, the French national taxonomic register, on the Web of Data. Far beyond the mere translation of the TAXREF database into LOD standards, we show that the key point of this endeavor is the design of a model capable of capturing the two coexisting yet distinct realities underlying taxonomic registers, namely the nomenclature (the rules for naming biological entities) and the taxonomy (the description and characterization of these biological entities). We first analyze different modelling choices made to represent some international taxonomic registers as LOD, and we underline the issues that arise from these differences. Then, we propose a model aimed to tackle these is-sues. This model separates nomenclature from taxonomy, it is flexible enough to accommodate the ever-changing scientific consensus on taxonomy, and it adheres to the philosophy underpinning the Semantic Web standards. Finally, using the example of TAXREF, we show that the model enables interlinking with third-party LOD data sets, may they represent nomenclatural or taxonomic information.]]>
Presentation of an article published at the 2nd International Workshop on Semantics for Biodiversity (S4Biodiv 2017), co-located with ISWC2017. Article: https://hal.archives-ouvertes.fr/hal-01617708 Taxonomic registers are key tools to help us comprehend the diversity of nature. Publishing such registers in the Web of Data, following the standards and best practices of Linked Open Data (LOD), is a way of integrating multiple data sources into a world-scale, biological knowledge base. In this pa-per, we present an on-going work aimed at the publication of TAXREF, the French national taxonomic register, on the Web of Data. Far beyond the mere translation of the TAXREF database into LOD standards, we show that the key point of this endeavor is the design of a model capable of capturing the two coexisting yet distinct realities underlying taxonomic registers, namely the nomenclature (the rules for naming biological entities) and the taxonomy (the description and characterization of these biological entities). We first analyze different modelling choices made to represent some international taxonomic registers as LOD, and we underline the issues that arise from these differences. Then, we propose a model aimed to tackle these is-sues. This model separates nomenclature from taxonomy, it is flexible enough to accommodate the ever-changing scientific consensus on taxonomy, and it adheres to the philosophy underpinning the Semantic Web standards. Finally, using the example of TAXREF, we show that the model enables interlinking with third-party LOD data sets, may they represent nomenclatural or taxonomic information.]]> Thu, 24 May 2018 08:17:08 GMT /slideshow/a-model-to-represent-nomenclatural-and-taxonomic-information-as-linked-data-application-to-the-french-taxonomic-register-taxref/98419920 FranckMichel@slideshare.net(FranckMichel) A Model to Represent Nomenclatural and Taxonomic Information as Linked Data. Application to the French Taxonomic Register, TAXREF FranckMichel Presentation of an article published at the 2nd International Workshop on Semantics for Biodiversity (S4Biodiv 2017), co-located with ISWC2017. Article: https://hal.archives-ouvertes.fr/hal-01617708 Taxonomic registers are key tools to help us comprehend the diversity of nature. Publishing such registers in the Web of Data, following the standards and best practices of Linked Open Data (LOD), is a way of integrating multiple data sources into a world-scale, biological knowledge base. In this pa-per, we present an on-going work aimed at the publication of TAXREF, the French national taxonomic register, on the Web of Data. Far beyond the mere translation of the TAXREF database into LOD standards, we show that the key point of this endeavor is the design of a model capable of capturing the two coexisting yet distinct realities underlying taxonomic registers, namely the nomenclature (the rules for naming biological entities) and the taxonomy (the description and characterization of these biological entities). We first analyze different modelling choices made to represent some international taxonomic registers as LOD, and we underline the issues that arise from these differences. Then, we propose a model aimed to tackle these is-sues. This model separates nomenclature from taxonomy, it is flexible enough to accommodate the ever-changing scientific consensus on taxonomy, and it adheres to the philosophy underpinning the Semantic Web standards. Finally, using the example of TAXREF, we show that the model enables interlinking with third-party LOD data sets, may they represent nomenclatural or taxonomic information. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationtaxref-ld-180524081708-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of an article published at the 2nd International Workshop on Semantics for Biodiversity (S4Biodiv 2017), co-located with ISWC2017. Article: https://hal.archives-ouvertes.fr/hal-01617708 Taxonomic registers are key tools to help us comprehend the diversity of nature. Publishing such registers in the Web of Data, following the standards and best practices of Linked Open Data (LOD), is a way of integrating multiple data sources into a world-scale, biological knowledge base. In this pa-per, we present an on-going work aimed at the publication of TAXREF, the French national taxonomic register, on the Web of Data. Far beyond the mere translation of the TAXREF database into LOD standards, we show that the key point of this endeavor is the design of a model capable of capturing the two coexisting yet distinct realities underlying taxonomic registers, namely the nomenclature (the rules for naming biological entities) and the taxonomy (the description and characterization of these biological entities). We first analyze different modelling choices made to represent some international taxonomic registers as LOD, and we underline the issues that arise from these differences. Then, we propose a model aimed to tackle these is-sues. This model separates nomenclature from taxonomy, it is flexible enough to accommodate the ever-changing scientific consensus on taxonomy, and it adheres to the philosophy underpinning the Semantic Web standards. Finally, using the example of TAXREF, we show that the model enables interlinking with third-party LOD data sets, may they represent nomenclatural or taxonomic information.
A Model to Represent Nomenclatural and Taxonomic Information as Linked Data. Application to the French Taxonomic Register, TAXREF from Franck Michel
]]> 156 2 https://cdn.slidesharecdn.com/ss_thumbnails/presentationtaxref-ld-180524081708-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 SPARQL Micro-Services: Lightweight Integration of Web APIs and Linked Data /slideshow/sparql-microservices-lightweight-integration-of-web-apis-and-linked-data/98418437 presentationsparqlmicro-serviceldow-180524080513
Presentation of an article published at the 11th workshop on Linked Data on the Web (LDOW2018), co-located with the Web Conference 2018. Article: https://hal.archives-ouvertes.fr/hal-01722792 We hypothesize that harnessing the Semantic Web standards to enable automatic combination of Linked Data and non-RDF Web APIs data could trigger novel cross-fertilization scenarios. To achieve this goal, we define the SPARQL Micro-Service architecture. A SPARQL micro-service is a lightweight, task-specific SPARQL endpoint that provides access to a small, resource-centric, virtual graph, while dynamically assigning dereferenceable URIs to Web API resources that do not have URIs beforehand. The graph is delineated by the Web API service being wrapped, the arguments passed to this service, and the restricted types of RDF triples that this SPARQL micro-service is designed to spawn. In this context, we argue that full SPARQL expressiveness can be supported efficiently without jeopardizing servers availability. Eventually, we believe that an ecosystem of SPARQL micro-services could emerge from independent service providers, enabling Linked Data-based applications to glean pieces of data from a wealth of distributed, scalable and reliable services. We describe an experimentation where we dynamically augment biodiversity-related Linked Data with data from Flickr, MusicBrainz and the Macauley scientific media library.]]>
Presentation of an article published at the 11th workshop on Linked Data on the Web (LDOW2018), co-located with the Web Conference 2018. Article: https://hal.archives-ouvertes.fr/hal-01722792 We hypothesize that harnessing the Semantic Web standards to enable automatic combination of Linked Data and non-RDF Web APIs data could trigger novel cross-fertilization scenarios. To achieve this goal, we define the SPARQL Micro-Service architecture. A SPARQL micro-service is a lightweight, task-specific SPARQL endpoint that provides access to a small, resource-centric, virtual graph, while dynamically assigning dereferenceable URIs to Web API resources that do not have URIs beforehand. The graph is delineated by the Web API service being wrapped, the arguments passed to this service, and the restricted types of RDF triples that this SPARQL micro-service is designed to spawn. In this context, we argue that full SPARQL expressiveness can be supported efficiently without jeopardizing servers availability. Eventually, we believe that an ecosystem of SPARQL micro-services could emerge from independent service providers, enabling Linked Data-based applications to glean pieces of data from a wealth of distributed, scalable and reliable services. We describe an experimentation where we dynamically augment biodiversity-related Linked Data with data from Flickr, MusicBrainz and the Macauley scientific media library.]]> Thu, 24 May 2018 08:05:13 GMT /slideshow/sparql-microservices-lightweight-integration-of-web-apis-and-linked-data/98418437 FranckMichel@slideshare.net(FranckMichel) SPARQL Micro-Services: Lightweight Integration of Web APIs and Linked Data FranckMichel Presentation of an article published at the 11th workshop on Linked Data on the Web (LDOW2018), co-located with the Web Conference 2018. Article: https://hal.archives-ouvertes.fr/hal-01722792 We hypothesize that harnessing the Semantic Web standards to enable automatic combination of Linked Data and non-RDF Web APIs data could trigger novel cross-fertilization scenarios. To achieve this goal, we define the SPARQL Micro-Service architecture. A SPARQL micro-service is a lightweight, task-specific SPARQL endpoint that provides access to a small, resource-centric, virtual graph, while dynamically assigning dereferenceable URIs to Web API resources that do not have URIs beforehand. The graph is delineated by the Web API service being wrapped, the arguments passed to this service, and the restricted types of RDF triples that this SPARQL micro-service is designed to spawn. In this context, we argue that full SPARQL expressiveness can be supported efficiently without jeopardizing servers availability. Eventually, we believe that an ecosystem of SPARQL micro-services could emerge from independent service providers, enabling Linked Data-based applications to glean pieces of data from a wealth of distributed, scalable and reliable services. We describe an experimentation where we dynamically augment biodiversity-related Linked Data with data from Flickr, MusicBrainz and the Macauley scientific media library. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationsparqlmicro-serviceldow-180524080513-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of an article published at the 11th workshop on Linked Data on the Web (LDOW2018), co-located with the Web Conference 2018. Article: https://hal.archives-ouvertes.fr/hal-01722792 We hypothesize that harnessing the Semantic Web standards to enable automatic combination of Linked Data and non-RDF Web APIs data could trigger novel cross-fertilization scenarios. To achieve this goal, we define the SPARQL Micro-Service architecture. A SPARQL micro-service is a lightweight, task-specific SPARQL endpoint that provides access to a small, resource-centric, virtual graph, while dynamically assigning dereferenceable URIs to Web API resources that do not have URIs beforehand. The graph is delineated by the Web API service being wrapped, the arguments passed to this service, and the restricted types of RDF triples that this SPARQL micro-service is designed to spawn. In this context, we argue that full SPARQL expressiveness can be supported efficiently without jeopardizing servers availability. Eventually, we believe that an ecosystem of SPARQL micro-services could emerge from independent service providers, enabling Linked Data-based applications to glean pieces of data from a wealth of distributed, scalable and reliable services. We describe an experimentation where we dynamically augment biodiversity-related Linked Data with data from Flickr, MusicBrainz and the Macauley scientific media library.
SPARQL Micro-Services: Lightweight Integration of Web APIs and Linked Data from Franck Michel
]]> 144 3 https://cdn.slidesharecdn.com/ss_thumbnails/presentationsparqlmicro-serviceldow-180524080513-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Integrating Heterogeneous Data Sources in the Web of Data /slideshow/integrating-heterogeneous-data-sources-in-the-web-of-data/77836803 franckmichel-integratingheterogeneousdata-170713144708
These are the slides of a 40mn presentation I've made at the CNRS Software Development days (JDEV 2017), in Marseille (France), July 5th, 2017. Here is the Webcast, in French: https://webcast.in2p3.fr/videos-integrer_des_sources_de_donnees_heterogenes_dans_le_web_de_donnees]]>
These are the slides of a 40mn presentation I've made at the CNRS Software Development days (JDEV 2017), in Marseille (France), July 5th, 2017. Here is the Webcast, in French: https://webcast.in2p3.fr/videos-integrer_des_sources_de_donnees_heterogenes_dans_le_web_de_donnees]]> Thu, 13 Jul 2017 14:47:08 GMT /slideshow/integrating-heterogeneous-data-sources-in-the-web-of-data/77836803 FranckMichel@slideshare.net(FranckMichel) Integrating Heterogeneous Data Sources in the Web of Data FranckMichel These are the slides of a 40mn presentation I've made at the CNRS Software Development days (JDEV 2017), in Marseille (France), July 5th, 2017. Here is the Webcast, in French: https://webcast.in2p3.fr/videos-integrer_des_sources_de_donnees_heterogenes_dans_le_web_de_donnees <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/franckmichel-integratingheterogeneousdata-170713144708-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> These are the slides of a 40mn presentation I&#39;ve made at the CNRS Software Development days (JDEV 2017), in Marseille (France), July 5th, 2017. Here is the Webcast, in French: https://webcast.in2p3.fr/videos-integrer_des_sources_de_donnees_heterogenes_dans_le_web_de_donnees
Integrating Heterogeneous Data Sources in the Web of Data from Franck Michel
]]> 351 3 https://cdn.slidesharecdn.com/ss_thumbnails/franckmichel-integratingheterogeneousdata-170713144708-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 Construction d¡¯un r¨¦f¨¦rentiel taxonomique commun pour des ¨¦tudes sur l¡¯histoire de la zoologie, l¡¯arch¨¦ozoologie et la biologie /slideshow/construction-dun-rfrentiel-taxonomique-commun-pour-des-tudes-sur-lhistoire-de-la-zoologie-larchozoologie-et-la-biologie/69396382 20161121semweb-161122085402
Conf¨¦rence SemWeb.Pro, 21/11/2016. Une des missions du Mus¨¦um National d¡¯Histoire Naturelle (MNHN) est d¡¯¨¦tablir une synth¨¨se de la biodiversit¨¦ et du patrimoine naturel fran?ais. Dans ce contexte, il est en charge de l¡¯¨¦laboration d¡¯un r¨¦f¨¦rentiel taxonomique pour la faune, la flore et la fonge, TAXREF. Ce r¨¦f¨¦rentiel unique liste et organise les noms scientifiques de l'ensemble des ¨ºtres vivants recens¨¦s sur les territoires fran?ais, m¨¦tropole et outremer, et constitue la pierre angulaire du Syst¨¨me d¡¯Information sur la Nature et les Paysages (SINP). Il est utilis¨¦ par de nombreux acteurs publics, priv¨¦s et de la soci¨¦t¨¦ civile (collectivit¨¦s, conservateurs, cabinets d¡¯architecte, enseignants, citoyens, etc.). TAXREF est de plus align¨¦ avec d'autres r¨¦f¨¦rentiels taxonomiques ou nomenclaturaux internationaux. Le projet de recherche Zoomathia vise ¨¤ ¨¦tudier l¡¯histoire de la connaissance zoologique ¨¤ travers l¡¯Antiquit¨¦ et le Moyen-Age. Pour cela, il envisage d¡¯utiliser les technologies du web s¨¦mantique afin d¡¯int¨¦grer des sources de donn¨¦es h¨¦t¨¦rog¨¨nes, allant d¡¯encyclop¨¦dies m¨¦di¨¦vales ¨¤ des donn¨¦es de biologie moderne, en passant par des rapports de fouilles arch¨¦ologiques et des ressources iconographiques. Ce travail passe n¨¦cessairement par la s¨¦lection et/ou la d¨¦finition de vocabulaires pouvant servir de r¨¦f¨¦rentiels taxonomique, culturel, g¨¦ographique, chronologique etc. Afin de rendre les donn¨¦es int¨¦gr¨¦es interop¨¦rables sur le web, ces vocabulaires doivent faire l¡¯objet d¡¯un consensus et ¨ºtre li¨¦s ¨¤ d¡¯autres vocabulaires connexes faisant autorit¨¦. TAXREF ¨¦tant le r¨¦sultat d¡¯un large consensus scientifique, et ¨¦tant d¨¦j¨¤ utilis¨¦ pour l¡¯int¨¦gration de donn¨¦es de biologie moderne et de donn¨¦es arch¨¦ologiques, il a ¨¦t¨¦ s¨¦lectionn¨¦ pour construire un th¨¦saurus supportant l¡¯int¨¦gration des donn¨¦es consid¨¦r¨¦es dans le cadre du projet Zoomathia. Dans cette pr¨¦sentation, je reviendrai sur les motivations expos¨¦es ci-dessus, puis je d¨¦crirai la mod¨¦lisation d¡¯un th¨¦saurus exprim¨¦ en SKOS (Simple Knowledge Organisation System) afin de produire une version de TAXREF exploitable avec les technologies du web s¨¦mantique. J¡¯aborderai notamment la question du lien entre ce ? TAXREF-SKOS ? et d¡¯autres th¨¦saurus et ontologies existantes. Enfin, je d¨¦crirai la m¨¦thode utilis¨¦e pour produire le r¨¦sultat en RDF et son exposition sur le web de donn¨¦es sous forme d¡¯URI p¨¦rennes d¨¦r¨¦f¨¦ren?ables, et je ferai une courte d¨¦monstration via la navigation dans les URI en Linked Data et l¡¯utilisation de requ¨ºtes SPARQL. En conclusion je reviendrai sur le fait que la construction de th¨¦saurus SKOS n¡¯est qu¡¯une ¨¦tape, un ? enabler ?, visant ¨¤ encourager les producteurs de donn¨¦es utilisant d¨¦j¨¤ TAXREF, et les concepteurs d¡¯applications, ¨¤ utiliser ces technologies et s¡¯appuyer sur TAXREF-SKOS. ]]>
Conf¨¦rence SemWeb.Pro, 21/11/2016. Une des missions du Mus¨¦um National d¡¯Histoire Naturelle (MNHN) est d¡¯¨¦tablir une synth¨¨se de la biodiversit¨¦ et du patrimoine naturel fran?ais. Dans ce contexte, il est en charge de l¡¯¨¦laboration d¡¯un r¨¦f¨¦rentiel taxonomique pour la faune, la flore et la fonge, TAXREF. Ce r¨¦f¨¦rentiel unique liste et organise les noms scientifiques de l'ensemble des ¨ºtres vivants recens¨¦s sur les territoires fran?ais, m¨¦tropole et outremer, et constitue la pierre angulaire du Syst¨¨me d¡¯Information sur la Nature et les Paysages (SINP). Il est utilis¨¦ par de nombreux acteurs publics, priv¨¦s et de la soci¨¦t¨¦ civile (collectivit¨¦s, conservateurs, cabinets d¡¯architecte, enseignants, citoyens, etc.). TAXREF est de plus align¨¦ avec d'autres r¨¦f¨¦rentiels taxonomiques ou nomenclaturaux internationaux. Le projet de recherche Zoomathia vise ¨¤ ¨¦tudier l¡¯histoire de la connaissance zoologique ¨¤ travers l¡¯Antiquit¨¦ et le Moyen-Age. Pour cela, il envisage d¡¯utiliser les technologies du web s¨¦mantique afin d¡¯int¨¦grer des sources de donn¨¦es h¨¦t¨¦rog¨¨nes, allant d¡¯encyclop¨¦dies m¨¦di¨¦vales ¨¤ des donn¨¦es de biologie moderne, en passant par des rapports de fouilles arch¨¦ologiques et des ressources iconographiques. Ce travail passe n¨¦cessairement par la s¨¦lection et/ou la d¨¦finition de vocabulaires pouvant servir de r¨¦f¨¦rentiels taxonomique, culturel, g¨¦ographique, chronologique etc. Afin de rendre les donn¨¦es int¨¦gr¨¦es interop¨¦rables sur le web, ces vocabulaires doivent faire l¡¯objet d¡¯un consensus et ¨ºtre li¨¦s ¨¤ d¡¯autres vocabulaires connexes faisant autorit¨¦. TAXREF ¨¦tant le r¨¦sultat d¡¯un large consensus scientifique, et ¨¦tant d¨¦j¨¤ utilis¨¦ pour l¡¯int¨¦gration de donn¨¦es de biologie moderne et de donn¨¦es arch¨¦ologiques, il a ¨¦t¨¦ s¨¦lectionn¨¦ pour construire un th¨¦saurus supportant l¡¯int¨¦gration des donn¨¦es consid¨¦r¨¦es dans le cadre du projet Zoomathia. Dans cette pr¨¦sentation, je reviendrai sur les motivations expos¨¦es ci-dessus, puis je d¨¦crirai la mod¨¦lisation d¡¯un th¨¦saurus exprim¨¦ en SKOS (Simple Knowledge Organisation System) afin de produire une version de TAXREF exploitable avec les technologies du web s¨¦mantique. J¡¯aborderai notamment la question du lien entre ce ? TAXREF-SKOS ? et d¡¯autres th¨¦saurus et ontologies existantes. Enfin, je d¨¦crirai la m¨¦thode utilis¨¦e pour produire le r¨¦sultat en RDF et son exposition sur le web de donn¨¦es sous forme d¡¯URI p¨¦rennes d¨¦r¨¦f¨¦ren?ables, et je ferai une courte d¨¦monstration via la navigation dans les URI en Linked Data et l¡¯utilisation de requ¨ºtes SPARQL. En conclusion je reviendrai sur le fait que la construction de th¨¦saurus SKOS n¡¯est qu¡¯une ¨¦tape, un ? enabler ?, visant ¨¤ encourager les producteurs de donn¨¦es utilisant d¨¦j¨¤ TAXREF, et les concepteurs d¡¯applications, ¨¤ utiliser ces technologies et s¡¯appuyer sur TAXREF-SKOS. ]]> Tue, 22 Nov 2016 08:54:02 GMT /slideshow/construction-dun-rfrentiel-taxonomique-commun-pour-des-tudes-sur-lhistoire-de-la-zoologie-larchozoologie-et-la-biologie/69396382 FranckMichel@slideshare.net(FranckMichel) Construction d¡¯un r¨¦f¨¦rentiel taxonomique commun pour des ¨¦tudes sur l¡¯histoire de la zoologie, l¡¯arch¨¦ozoologie et la biologie FranckMichel Conf¨¦rence SemWeb.Pro, 21/11/2016. Une des missions du Mus¨¦um National d¡¯Histoire Naturelle (MNHN) est d¡¯¨¦tablir une synth¨¨se de la biodiversit¨¦ et du patrimoine naturel fran?ais. Dans ce contexte, il est en charge de l¡¯¨¦laboration d¡¯un r¨¦f¨¦rentiel taxonomique pour la faune, la flore et la fonge, TAXREF. Ce r¨¦f¨¦rentiel unique liste et organise les noms scientifiques de l'ensemble des ¨ºtres vivants recens¨¦s sur les territoires fran?ais, m¨¦tropole et outremer, et constitue la pierre angulaire du Syst¨¨me d¡¯Information sur la Nature et les Paysages (SINP). Il est utilis¨¦ par de nombreux acteurs publics, priv¨¦s et de la soci¨¦t¨¦ civile (collectivit¨¦s, conservateurs, cabinets d¡¯architecte, enseignants, citoyens, etc.). TAXREF est de plus align¨¦ avec d'autres r¨¦f¨¦rentiels taxonomiques ou nomenclaturaux internationaux. Le projet de recherche Zoomathia vise ¨¤ ¨¦tudier l¡¯histoire de la connaissance zoologique ¨¤ travers l¡¯Antiquit¨¦ et le Moyen-Age. Pour cela, il envisage d¡¯utiliser les technologies du web s¨¦mantique afin d¡¯int¨¦grer des sources de donn¨¦es h¨¦t¨¦rog¨¨nes, allant d¡¯encyclop¨¦dies m¨¦di¨¦vales ¨¤ des donn¨¦es de biologie moderne, en passant par des rapports de fouilles arch¨¦ologiques et des ressources iconographiques. Ce travail passe n¨¦cessairement par la s¨¦lection et/ou la d¨¦finition de vocabulaires pouvant servir de r¨¦f¨¦rentiels taxonomique, culturel, g¨¦ographique, chronologique etc. Afin de rendre les donn¨¦es int¨¦gr¨¦es interop¨¦rables sur le web, ces vocabulaires doivent faire l¡¯objet d¡¯un consensus et ¨ºtre li¨¦s ¨¤ d¡¯autres vocabulaires connexes faisant autorit¨¦. TAXREF ¨¦tant le r¨¦sultat d¡¯un large consensus scientifique, et ¨¦tant d¨¦j¨¤ utilis¨¦ pour l¡¯int¨¦gration de donn¨¦es de biologie moderne et de donn¨¦es arch¨¦ologiques, il a ¨¦t¨¦ s¨¦lectionn¨¦ pour construire un th¨¦saurus supportant l¡¯int¨¦gration des donn¨¦es consid¨¦r¨¦es dans le cadre du projet Zoomathia. Dans cette pr¨¦sentation, je reviendrai sur les motivations expos¨¦es ci-dessus, puis je d¨¦crirai la mod¨¦lisation d¡¯un th¨¦saurus exprim¨¦ en SKOS (Simple Knowledge Organisation System) afin de produire une version de TAXREF exploitable avec les technologies du web s¨¦mantique. J¡¯aborderai notamment la question du lien entre ce ? TAXREF-SKOS ? et d¡¯autres th¨¦saurus et ontologies existantes. Enfin, je d¨¦crirai la m¨¦thode utilis¨¦e pour produire le r¨¦sultat en RDF et son exposition sur le web de donn¨¦es sous forme d¡¯URI p¨¦rennes d¨¦r¨¦f¨¦ren?ables, et je ferai une courte d¨¦monstration via la navigation dans les URI en Linked Data et l¡¯utilisation de requ¨ºtes SPARQL. En conclusion je reviendrai sur le fait que la construction de th¨¦saurus SKOS n¡¯est qu¡¯une ¨¦tape, un ? enabler ?, visant ¨¤ encourager les producteurs de donn¨¦es utilisant d¨¦j¨¤ TAXREF, et les concepteurs d¡¯applications, ¨¤ utiliser ces technologies et s¡¯appuyer sur TAXREF-SKOS. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20161121semweb-161122085402-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Conf¨¦rence SemWeb.Pro, 21/11/2016. Une des missions du Mus¨¦um National d¡¯Histoire Naturelle (MNHN) est d¡¯¨¦tablir une synth¨¨se de la biodiversit¨¦ et du patrimoine naturel fran?ais. Dans ce contexte, il est en charge de l¡¯¨¦laboration d¡¯un r¨¦f¨¦rentiel taxonomique pour la faune, la flore et la fonge, TAXREF. Ce r¨¦f¨¦rentiel unique liste et organise les noms scientifiques de l&#39;ensemble des ¨ºtres vivants recens¨¦s sur les territoires fran?ais, m¨¦tropole et outremer, et constitue la pierre angulaire du Syst¨¨me d¡¯Information sur la Nature et les Paysages (SINP). Il est utilis¨¦ par de nombreux acteurs publics, priv¨¦s et de la soci¨¦t¨¦ civile (collectivit¨¦s, conservateurs, cabinets d¡¯architecte, enseignants, citoyens, etc.). TAXREF est de plus align¨¦ avec d&#39;autres r¨¦f¨¦rentiels taxonomiques ou nomenclaturaux internationaux. Le projet de recherche Zoomathia vise ¨¤ ¨¦tudier l¡¯histoire de la connaissance zoologique ¨¤ travers l¡¯Antiquit¨¦ et le Moyen-Age. Pour cela, il envisage d¡¯utiliser les technologies du web s¨¦mantique afin d¡¯int¨¦grer des sources de donn¨¦es h¨¦t¨¦rog¨¨nes, allant d¡¯encyclop¨¦dies m¨¦di¨¦vales ¨¤ des donn¨¦es de biologie moderne, en passant par des rapports de fouilles arch¨¦ologiques et des ressources iconographiques. Ce travail passe n¨¦cessairement par la s¨¦lection et/ou la d¨¦finition de vocabulaires pouvant servir de r¨¦f¨¦rentiels taxonomique, culturel, g¨¦ographique, chronologique etc. Afin de rendre les donn¨¦es int¨¦gr¨¦es interop¨¦rables sur le web, ces vocabulaires doivent faire l¡¯objet d¡¯un consensus et ¨ºtre li¨¦s ¨¤ d¡¯autres vocabulaires connexes faisant autorit¨¦. TAXREF ¨¦tant le r¨¦sultat d¡¯un large consensus scientifique, et ¨¦tant d¨¦j¨¤ utilis¨¦ pour l¡¯int¨¦gration de donn¨¦es de biologie moderne et de donn¨¦es arch¨¦ologiques, il a ¨¦t¨¦ s¨¦lectionn¨¦ pour construire un th¨¦saurus supportant l¡¯int¨¦gration des donn¨¦es consid¨¦r¨¦es dans le cadre du projet Zoomathia. Dans cette pr¨¦sentation, je reviendrai sur les motivations expos¨¦es ci-dessus, puis je d¨¦crirai la mod¨¦lisation d¡¯un th¨¦saurus exprim¨¦ en SKOS (Simple Knowledge Organisation System) afin de produire une version de TAXREF exploitable avec les technologies du web s¨¦mantique. J¡¯aborderai notamment la question du lien entre ce ? TAXREF-SKOS ? et d¡¯autres th¨¦saurus et ontologies existantes. Enfin, je d¨¦crirai la m¨¦thode utilis¨¦e pour produire le r¨¦sultat en RDF et son exposition sur le web de donn¨¦es sous forme d¡¯URI p¨¦rennes d¨¦r¨¦f¨¦ren?ables, et je ferai une courte d¨¦monstration via la navigation dans les URI en Linked Data et l¡¯utilisation de requ¨ºtes SPARQL. En conclusion je reviendrai sur le fait que la construction de th¨¦saurus SKOS n¡¯est qu¡¯une ¨¦tape, un ? enabler ?, visant ¨¤ encourager les producteurs de donn¨¦es utilisant d¨¦j¨¤ TAXREF, et les concepteurs d¡¯applications, ¨¤ utiliser ces technologies et s¡¯appuyer sur TAXREF-SKOS.
Construction d¸M±ùn r¥Æ¥¥f¥Æ¥¥rentiel taxonomique commun pour des ¥Æ¥¥tudes sur l¸MƒÙistoire de la zoologie, l¸MÙârch¥Æ¥¥ozoologie et la biologie from Franck Michel
]]> 253 8 https://cdn.slidesharecdn.com/ss_thumbnails/20161121semweb-161122085402-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Mapping-based Method to Query MongoDB Documents with SPARQL /slideshow/a-mappingbased-method-to-query-mongodb-documents-with-sparql/65781157 20160907dexa16-extended-160907135207
Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a popular actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this talk we present an article published at the DEXA 2016 conference. It addresses the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query under MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all correct answers.]]>
Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a popular actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this talk we present an article published at the DEXA 2016 conference. It addresses the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query under MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all correct answers.]]> Wed, 07 Sep 2016 13:52:07 GMT /slideshow/a-mappingbased-method-to-query-mongodb-documents-with-sparql/65781157 FranckMichel@slideshare.net(FranckMichel) A Mapping-based Method to Query MongoDB Documents with SPARQL FranckMichel Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a popular actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this talk we present an article published at the DEXA 2016 conference. It addresses the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query under MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all correct answers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20160907dexa16-extended-160907135207-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Accessing legacy data as virtual RDF stores is a key issue in the building of the Web of Data. In recent years, the MongoDB database has become a popular actor in the NoSQL market, making it a significant potential contributor to the Web of Linked Data. Therefore, in this talk we present an article published at the DEXA 2016 conference. It addresses the question of how to access arbitrary MongoDB documents with SPARQL. We propose a two-step method to (i) translate a SPARQL query into a pivot abstract query under MongoDB-to-RDF mappings represented in the xR2RML language, then (ii) translate the pivot query into a concrete MongoDB query. We elaborate on the discrepancy between the expressiveness of SPARQL and the MongoDB query language, and we show that we can always come up with a rewriting that shall produce all correct answers.
A Mapping-based Method to Query MongoDB Documents with SPARQL from Franck Michel
]]> 1372 4 https://cdn.slidesharecdn.com/ss_thumbnails/20160907dexa16-extended-160907135207-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 A Generic Mapping-based Query Translation from SPARQL to Various Target Database Query Languages /slideshow/a-generic-mappingbased-query-translation-from-sparql-to-various-target-database-query-languages/63731260 20160430webist16-160705073525
Presentation of the article https://hal.archives-ouvertes.fr/hal-01280951 at the WebIST 2016 conference. ]]>
Presentation of the article https://hal.archives-ouvertes.fr/hal-01280951 at the WebIST 2016 conference. ]]> Tue, 05 Jul 2016 07:35:25 GMT /slideshow/a-generic-mappingbased-query-translation-from-sparql-to-various-target-database-query-languages/63731260 FranckMichel@slideshare.net(FranckMichel) A Generic Mapping-based Query Translation from SPARQL to Various Target Database Query Languages FranckMichel Presentation of the article https://hal.archives-ouvertes.fr/hal-01280951 at the WebIST 2016 conference. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20160430webist16-160705073525-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation of the article https://hal.archives-ouvertes.fr/hal-01280951 at the WebIST 2016 conference.
A Generic Mapping-based Query Translation from SPARQL to Various Target Database Query Languages from Franck Michel
]]> 258 4 https://cdn.slidesharecdn.com/ss_thumbnails/20160430webist16-160705073525-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Make our Scientific Datasets Accessible and Interoperable on the Web /slideshow/make-our-scientific-datasets-accessible-and-interoperable-on-the-web/54251887 rbdd15makeourscientificdatasetsaccessibleandinteroperableontheweb-151022085820-lva1-app6892
The presentation investigates the challenges that we must face to share scientific datasets on the Web following the Linked Open Data principles. We present the standards of the Semantic Web and investigate how they can help address those challenges. We give tips as to how to choose vocabularies to describe data and metadata, link datasets to other related datasets by making appropriate alignments, translate existing data sources to RDF and publish it on the Web as linked data.]]>
The presentation investigates the challenges that we must face to share scientific datasets on the Web following the Linked Open Data principles. We present the standards of the Semantic Web and investigate how they can help address those challenges. We give tips as to how to choose vocabularies to describe data and metadata, link datasets to other related datasets by making appropriate alignments, translate existing data sources to RDF and publish it on the Web as linked data.]]> Thu, 22 Oct 2015 08:58:20 GMT /slideshow/make-our-scientific-datasets-accessible-and-interoperable-on-the-web/54251887 FranckMichel@slideshare.net(FranckMichel) Make our Scientific Datasets Accessible and Interoperable on the Web FranckMichel The presentation investigates the challenges that we must face to share scientific datasets on the Web following the Linked Open Data principles. We present the standards of the Semantic Web and investigate how they can help address those challenges. We give tips as to how to choose vocabularies to describe data and metadata, link datasets to other related datasets by making appropriate alignments, translate existing data sources to RDF and publish it on the Web as linked data. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rbdd15makeourscientificdatasetsaccessibleandinteroperableontheweb-151022085820-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The presentation investigates the challenges that we must face to share scientific datasets on the Web following the Linked Open Data principles. We present the standards of the Semantic Web and investigate how they can help address those challenges. We give tips as to how to choose vocabularies to describe data and metadata, link datasets to other related datasets by making appropriate alignments, translate existing data sources to RDF and publish it on the Web as linked data.
Make our Scientific Datasets Accessible and Interoperable on the Web from Franck Michel
]]> 378 4 https://cdn.slidesharecdn.com/ss_thumbnails/rbdd15makeourscientificdatasetsaccessibleandinteroperableontheweb-151022085820-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 Translation of Relational and Non-Relational Databases into RDF with xR2RML /slideshow/20150530-x-r2rml-webist15-2final/48848503 20150530xr2rmlwebist15-2-final-150601155324-lva1-app6892
Presentateion of the article accepted at the WebIST 2015 intenational conference. Link to the article: https://hal.archives-ouvertes.fr/hal-01141686v1]]>
Presentateion of the article accepted at the WebIST 2015 intenational conference. Link to the article: https://hal.archives-ouvertes.fr/hal-01141686v1]]> Mon, 01 Jun 2015 15:53:24 GMT /slideshow/20150530-x-r2rml-webist15-2final/48848503 FranckMichel@slideshare.net(FranckMichel) Translation of Relational and Non-Relational Databases into RDF with xR2RML FranckMichel Presentateion of the article accepted at the WebIST 2015 intenational conference. Link to the article: https://hal.archives-ouvertes.fr/hal-01141686v1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20150530xr2rmlwebist15-2-final-150601155324-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentateion of the article accepted at the WebIST 2015 intenational conference. Link to the article: https://hal.archives-ouvertes.fr/hal-01141686v1
Translation of Relational and Non-Relational Databases into RDF with xR2RML from Franck Michel
]]> 675 4 https://cdn.slidesharecdn.com/ss_thumbnails/20150530xr2rmlwebist15-2-final-150601155324-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 Towards a Shared Reference Thesaurus for Studies on History of Zoology, Archaeozoology and Conservation Biology /slideshow/towards-a-shared-reference-thesaurus-for-studies-on-history-of-zoology-archaeozoology-and-conservation-biology/48840398 sw4sh-prsentation-150601130814-lva1-app6892
Presentateion of a collective article we submited at the First Semantic Web for Scientific History workshop (SW4SH) co-located with ESWC 2015. Link to the article: https://hal.archives-ouvertes.fr/hal-01146638v1]]>
Presentateion of a collective article we submited at the First Semantic Web for Scientific History workshop (SW4SH) co-located with ESWC 2015. Link to the article: https://hal.archives-ouvertes.fr/hal-01146638v1]]> Mon, 01 Jun 2015 13:08:14 GMT /slideshow/towards-a-shared-reference-thesaurus-for-studies-on-history-of-zoology-archaeozoology-and-conservation-biology/48840398 FranckMichel@slideshare.net(FranckMichel) Towards a Shared Reference Thesaurus for Studies on History of Zoology, Archaeozoology and Conservation Biology FranckMichel Presentateion of a collective article we submited at the First Semantic Web for Scientific History workshop (SW4SH) co-located with ESWC 2015. Link to the article: https://hal.archives-ouvertes.fr/hal-01146638v1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sw4sh-prsentation-150601130814-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentateion of a collective article we submited at the First Semantic Web for Scientific History workshop (SW4SH) co-located with ESWC 2015. Link to the article: https://hal.archives-ouvertes.fr/hal-01146638v1
Towards a Shared Reference Thesaurus for Studies on History of Zoology, Archaeozoology and Conservation Biology from Franck Michel
]]> 578 4 https://cdn.slidesharecdn.com/ss_thumbnails/sw4sh-prsentation-150601130814-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-FranckMichel-48x48.jpg?cb=1712135366 w3id.org/people/franckmichel https://cdn.slidesharecdn.com/ss_thumbnails/iswc-221025120537-5fbca63b-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/issa-generic-pipeline-knowledge-model-and-visualization-tools-to-help-scientists-search-and-make-sense-of-a-scientific-archive/253793500 ISSA: Generic Pipeline... https://cdn.slidesharecdn.com/ss_thumbnails/20210310tdwgwebinar-bioschemas-franckmichel-210429231823-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/bioschemas-marking-up-biodiversity-websites-to-improve-data-discovery-and-webscale-integration/247385165 Bioschemas: Marking up... https://cdn.slidesharecdn.com/ss_thumbnails/20201021tdwg-bioschemasmnhn-201124131120-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/unleash-the-potential-of-your-website-180000-webpages-from-the-french-nhm-marked-up-with-bioschemasschemaorg-biodiversity-types/239439226 Unleash the Potential ...