• DocumentCode
    2894847
  • Title

    An Ontology-Based Approach to Web Information Integration

  • Author

    Zhang, Lin

  • Author_Institution
    Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    87
  • Lastpage
    90
  • Abstract
    Information integration and interoperability among information sources are related problems that have received significant attention since early days of computer information processing. The objective of Web information integration system is to promote Web information collection, sharing and retrieval in distributed and heterogeneous environment. This paper puts forward an ontology-based approach to Web information integration, which promises better access to relevant information by producing a global domain ontology that is used for establishing semantic connections among the local autonomous information sources as well as for retrieving those sources. In this approach, an up-bottom information integration method with a semantic transformation adapter framework is proposed to solve both the semantic heterogeneities and the query answering problems.
  • Keywords
    Internet; ontologies (artificial intelligence); open systems; query processing; Web information integration; computer information processing; distributed environment; heterogeneous environment; information retrieval; interoperability; local autonomous information sources; ontology-based approach; query answering problems; semantic transformation adapter framework; Algorithm design and analysis; File servers; Information processing; Information representation; Information retrieval; Information systems; Object oriented modeling; Ontologies; Service oriented architecture; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining, 2009. WISM 2009. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3817-4
  • Type

    conf

  • DOI
    10.1109/WISM.2009.26
  • Filename
    5368150