• DocumentCode
    2865274
  • Title

    Resolving Quantifier and Number Restriction to Question OWL Ontologies

  • Author

    Mithun, Shamima ; Kosseim, Leila ; Haarslev, Volker

  • Author_Institution
    Concordia Univ., Montreal
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    218
  • Lastpage
    223
  • Abstract
    This paper describes an approach to resolve quantifiers and number restrictions in natural language questions to query ontologies. Incorporating this feature enables natural language query interfaces to capture a wider range of user queries. To deal with quantifiers and number restrictions, we analyzed a corpus of such questions and derived constraints at the syntactic level to recognize and parse them. The approach was implemented and evaluated through a system called ONLI+. Our method has been evaluated by conducting different experiments using the mean reciprocal rank (MRR) measure. Experimental results show that this feature has been incorporated into ONLI+ without degrading its performance in terms of transforming natural language queries into the nRQL queries, but definitely increases the expressivity of the user. To the best of our knowledge no other natural language interface to query ontologies can deal with quantifiers and number restrictions.
  • Keywords
    natural language interfaces; ontologies (artificial intelligence); query processing; ONLI+; OWL ontologies; mean reciprocal rank measure; nRQL queries; natural language query interfaces; natural language questions; number restriction; quantifier restriction; Biochemistry; Computer science; Database languages; Degradation; Electronic mail; Fungi; Natural languages; OWL; Ontologies; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.147
  • Filename
    4438537