title: A life science Semantic Web: are we there yet?
abstract: More than ever, life science researchers depend on information from multiple sources. The Semantic Web offers a powerful new strategy for consolidating both text and structured data into a comprehensive collections and views. In addition, these aggregates are readable by both humans and machines and could be the basis of information management and knowledge exchange.
authors.affiliation: Sanofi-Aventis Pharmaceuticals, 1041 Route 202-206 Bridgewater, NJ 08807, USA. Eric.Neumann@sanofi-aventis.com
authors.forename: Eric
authors.initials: E
authors.lastname: Neumann
mesh_terms: D001690:Biological Science Disciplines; D019295:Computational Biology / Q000379:methods / Q000458:organization & administration*; D003628:Database Management Systems; D005796:Genes; D006801:Humans; D019451:Information Management / Q000379:methods*; D020407:Internet / Q000458:organization & administration*; D051188:Knowledge Bases; D008962:Models, Theoretical; D011506:Proteins; D012660:Semantics; D009626:Terminology as Topic; D014584:User-Computer Interface
chemical_list: D011506:Proteins