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Bio2RDF: Linked Data for the Life Sciences

The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions.

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Bio2RDF: Linked Data for the Life Sciences | bio2rdf.blogspot.com Reviews
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The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions.
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posted by,françois belleau,1 comment,kabob vs bio2rdf,from ontobee,from bio2rdf,bio2rdf,from,data source,2 comments,kabob,input,code at,https / github.com/drlivingston/kr,https / github.com/drlivingston/kabob,output,http / bio2rdf.org/test,no comments
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Bio2RDF: Linked Data for the Life Sciences | bio2rdf.blogspot.com Reviews

https://bio2rdf.blogspot.com

The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions.

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1

Bio2RDF: Linked Data for the Life Sciences: 06/01/2009 - 07/01/2009

http://bio2rdf.blogspot.com/2009_06_01_archive.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Monday, June 29, 2009. Tuesday, June 23, 2009.

2

Bio2RDF: Linked Data for the Life Sciences: Bio2RDF return to Japan

http://bio2rdf.blogspot.com/2010/10/bio2rdf-return-to-japan.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Tuesday, October 05, 2010.

3

Bio2RDF: Linked Data for the Life Sciences: 07/01/2009 - 08/01/2009

http://bio2rdf.blogspot.com/2009_07_01_archive.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Monday, July 20, 2009. Wednesday, July 01, 2009.

4

Bio2RDF: Linked Data for the Life Sciences: 10/01/2010 - 11/01/2010

http://bio2rdf.blogspot.com/2010_10_01_archive.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Wednesday, October 20, 2010.

5

Bio2RDF: Linked Data for the Life Sciences: 09/01/2011 - 10/01/2011

http://bio2rdf.blogspot.com/2011_09_01_archive.html

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Sunday, September 11, 2011. 4 identify and ass...

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See Also | Linked Data - Connect Distributed Data across the Web

http://linkeddata.org/see-also

Linked Data - Connect Distributed Data across the Web. Linked Data on the ESW Wiki. The Linking Open Data Project on the ESW Wiki. Linked Data on Wikipedia. Linked Data Community Wiki. Linking Open Data Project Mailing List. Archives of Previous List. Bio2RDF project publishing genomic data on the Web. Linking Open Drug Data W3C HCLS task. W3C Semantic Web Wiki. Of semantic Web and -related tools (many linked data categories). Login to edit (authorised users only at present). Log in using OpenID:.

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SemAnt: Bio2RDF

http://semant.blogspot.com/2007/03/bio2rdf.html

Tuesday, March 06, 2007. By François Belleau. Here's the blurb:. It is now possible to query Bio2RDF triple store using Sesame's SeRQL query engine. The actual triple store contains all annotations about human and mouse from UniProt, Affymetrix and GeneID. It also contains all GO term definitions and OMIM disease description. It contains 50 millions triples and the native RDF store in sesame weigths 3 Go. Watch for the speed of it! Thanks for the Sesame team for their great work. And a SourceForge project.

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Bio2RDF: Linked Data for the Life Sciences

Bio2RDF: Linked Data for the Life Sciences. The Bio2RDF project uses open-source Semantic Web technologies to provide interlinked life science data to support biological knowledge discovery. Using both syntactic and semantic data integration techniques, Bio2RDF puts into practice a simple methodology to generate and seamlessly integrate machine-interpretable data that can be powerfully interograted with SPARQL-based queries to answer sophisticated questions. Tuesday, December 22, 2015. The first step of ...

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