• DocumentCode
    924672
  • Title

    Knowledge representation for natural language understanding: the L LILOG approach

  • Author

    Beierle, Christoph ; Pletat, Udo ; Studer, Rudi

  • Author_Institution
    IBM Germany, Stuttgart, Germany
  • Volume
    5
  • Issue
    3
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    386
  • Lastpage
    401
  • Abstract
    The logic-based knowledge representation language LLILOG, which is used to represent both the semantic background knowledge as well as the information extracted from German texts within the LILOG project, is discussed. LLILOG integrates frame-like features-value descriptions used in computational linguistics into an order-sorted predicated logic framework. The basis design principles of LLILOG and examples of how LLILOG is used to model real world knowledge are presented. The implementation of the first LILOG prototype is described. A formal semantics definition is provided
  • Keywords
    knowledge representation; natural languages; LLILOG approach; computational linguistics; formal semantics; frame-like features-value descriptions; logic-based knowledge representation language; natural language understanding; order-sorted predicated logic framework; semantic background knowledge; Artificial intelligence; Collaboration; Computational linguistics; Data mining; Educational institutions; Knowledge based systems; Knowledge representation; Logic; Natural languages; Prototypes;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/69.224192
  • Filename
    224192
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=924672