Bio2RDF : A Semantic Web Atlas of Post Genomic Knowledge about Human and Mouse

  • François Belleau
  • Nicole Tourigny
  • Benjamin Good
  • Jean Morissette
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5109)

Abstract

The Bio2RDF project uses a data integration approach based on semantic web rules to answer a broad question: What is known about the mouse and human genomes? Using its rdfizing services, a semantic mashup of 65 million triples was built from 30 public bioinformatics data providers: GO, NCBI, UniProt, KEGG, PDB and many others. The average link-rank (ALR) of a node is 4.7 which means that a usual topic is connected to 4.7 other topics by direct or reverse links within the warehouse. A knowledge map of the graph and descriptive statistics about its content are presented. A downloadable version of the Bio2RDF Atlas graph in N3 format is available at http://bio2rdf.org/download.

Keywords

Resource Description Framework Openness Ratio Reverse Link Global Graph Semantic Weight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • François Belleau
    • 1
  • Nicole Tourigny
    • 1
  • Benjamin Good
    • 1
  • Jean Morissette
    • 1
  1. 1.Centre de Recherche du CHUL, Université Laval, Département d’informatique et de génie logiciel, Université Laval, Bioinformatics Graduate Program, iCAPTURE Centre for Heart and Lung Research, University of British Columbia 

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