• DocumentCode
    1807405
  • Title

    A Corpus-Driven Approach for Design, Evolution and Alignment of Ontologies

  • Author

    Wachter, Thomas ; Wobst, Andre ; Schroeder, Michael ; Tan, He ; Lambrix, Patrick

  • Author_Institution
    Biotechnologisches Zentrum, Technische Univ. Dresden
  • fYear
    2006
  • fDate
    3-6 Dec. 2006
  • Firstpage
    1595
  • Lastpage
    1602
  • Abstract
    Bio-ontologies are hierarchical vocabularies, which are used to annotate other data sources such as sequence and structure databases. With the wide use of ontologies their integration, design, and evolution becomes an important problem. We show how textmining on relevant text corpora can be used to identify matching ontology terms of two separate ontologies and to propose new ontology terms for a given term. We evaluate these approaches on the GeneOntology
  • Keywords
    biology computing; data mining; database management systems; ontologies (artificial intelligence); text analysis; GeneOntology; bio-ontologies; sequence databases; structure databases; textmining; Abstracts; Bioinformatics; Databases; Evolution (biology); Ontologies; Proteins; Standards development; Systems biology; Testing; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2006. WSC 06. Proceedings of the Winter
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    1-4244-0500-9
  • Electronic_ISBN
    1-4244-0501-7
  • Type

    conf

  • DOI
    10.1109/WSC.2006.322932
  • Filename
    4117790