• DocumentCode
    3227777
  • Title

    Two Obvious Intuitions: Ontology-Mapping Needs Background Knowledge and Approximation

  • Author

    van Harmelen, F.

  • Author_Institution
    Dept. of AI, Vrije Univ., Amsterdam
  • fYear
    2006
  • fDate
    18-22 Dec. 2006
  • Firstpage
    11
  • Lastpage
    11
  • Abstract
    Summary form only given. Ontology mapping (or: ontology alignment, or integration) is one of the most active areas the semantic Web area. An increasing amount of ontologies are becoming available in recent years, and if the semantic Web is to be taken seriously, the problem of ontology mapping must be solved. In this article the author discuss recent work where we have quantitatively shown that indeed, ontology mapping can benefit from background knowledge, and that, somewhat surprisingly, more background knowledge leads to continuously improving results. We also discuss how the use of such background knowledge can be exploited to find approximate mappings when perfect mappings cannot be found
  • Keywords
    ontologies (artificial intelligence); semantic Web; ontology mapping; semantic Web; Artificial intelligence; Humans; Ontologies; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    0-7695-2747-7
  • Type

    conf

  • DOI
    10.1109/WI.2006.179
  • Filename
    4061334