• DocumentCode
    3119752
  • Title

    Semantic Web for the Life Sciences - Hype, Why, How and Use Case for AIDS Inhibitors

  • Author

    Bhat, T.N. ; Barkley, J.

  • Author_Institution
    NIST, Gaithersburg
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    One of the difficulty in applying the concepts of semantic Web technology to a drug discovery is the creation of a software generated URI suitable both for ontology independent and ontology dependent properties of drugs. We propose the use of two types of URI; structure invariants (URI) to identify the ontology independent features and structure semi-invariants (OURI) to identify ontology dependent features. URI are defined by the most fundamental properties (chemical connectivity, bond type, etc.). OURI are defined from context dependent (semantic) properties (binding mode, chemical core).
  • Keywords
    biology computing; drugs; ontologies (artificial intelligence); semantic Web; AIDS inhibitor; drug discovery; life science; ontology independent features; semantic Web; software generated URI; structure invariant; Acquired immune deficiency syndrome; Biological system modeling; Chemicals; Context-aware services; Drugs; Inhibitors; NIST; Ontologies; Pharmaceutical technology; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services, 2007 IEEE Congress on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    978-0-7695-2926-4
  • Type

    conf

  • DOI
    10.1109/SERVICES.2007.54
  • Filename
    4278782