• DocumentCode
    375567
  • Title

    IR and AI: using co-occurrence theory to generate lightweight ontologies

  • Author

    Ding, Ying ; Engels, Rob

  • Author_Institution
    Dept. of Math. & Comput. Sci., Vrije Univ., Amsterdam, Netherlands
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    961
  • Lastpage
    965
  • Abstract
    This paper illustrates the application of cooccurrence theory to generate lightweight ontologies semi-automatically. First, the relationship of Information Retrieval (IR) and Artificial Intelligence (AI) is discussed in a general way. Then two case studies have been conducted to generate lightweight ontologies in specific domains (Information Retrieval domain and European part of CIA FactBook). Further discussion is articulated and future work is proposed, especially the possible future research direction on ontology learning
  • Keywords
    information retrieval; learning (artificial intelligence); artificial intelligence; cooccurrence theory; information retrieval; lightweight ontologies; ontology learning; Artificial intelligence; Computer science; Databases; Frequency; Indexing; Information retrieval; Mathematics; Natural languages; Ontologies; Thesauri;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on
  • Conference_Location
    Munich
  • Print_ISBN
    0-7695-1230-5
  • Type

    conf

  • DOI
    10.1109/DEXA.2001.953179
  • Filename
    953179
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=375567