• DocumentCode
    2345782
  • Title

    Toward Ontology-Guided Knowledge-Driven XML Query Relaxation

  • Author

    Hill, Jeremy ; Torson, Jeff ; Guo, Bo ; Chen, Zhengxin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Nebraska at Omaha, Omaha, NE, USA
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    448
  • Lastpage
    453
  • Abstract
    Recently ontologies have drawn much attention from research communities. However, the advantage of using ontologies for knowledge-driven intelligent query answering is yet to be fully explored. In this paper, we examine the use of ontologies for guiding XML query relaxation and propose a practical approach which incorporates WordNet ontology with free software Qexo. Rather than reinventing the wheel, we take advantage of assembling publicly available tools to make query relaxation easy to implement. We present a methodology for XML query relaxation, and report experimental results to show the feasibility of the proposed approach. Our research indicates the importance of incorporating ontologies into the study of intelligent query answering.
  • Keywords
    XML; ontologies (artificial intelligence); query processing; question answering (information retrieval); Qexo; WordNet ontology; knowledge-driven intelligent query answering; ontology-guided knowledge-driven XML query relaxation; Query relaxation; WordNet; XML; intelligent query answering; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.22
  • Filename
    5701888