• DocumentCode
    3318494
  • Title

    Mapping WordNet to a relational network

  • Author

    Webster, Jonathan J. ; Chow, Ian C.

  • Author_Institution
    City Univ. of Hong Kong, Kowloon, China
  • fYear
    2005
  • fDate
    30 Oct.-1 Nov. 2005
  • Firstpage
    718
  • Lastpage
    722
  • Abstract
    This paper discusses the implementation of a lexical knowledge base, based on a conceptualization of the problem domain in terms of relational network notation. In particular, we focus here on the importing of lemmas as instances from WordNet 2.0 into the knowledge base. Relational network notation (RNN) offers a simple yet powerful means for representing lexicogrammatical, semantic and sememic information. RNN is driven by relational network theory and incorporates developments in the theory which have been shown to not only describe but also explain linguistic phenomena in a neurologically plausible manner.
  • Keywords
    computational linguistics; grammars; knowledge based systems; semantic networks; WordNet mapping; lexical knowledge base; lexicogrammatical information; relational network notation; relational network theory; semantic information; sememic information; Humans; Logic; Natural languages; Ontologies; Psychology; Recurrent neural networks; Relational databases; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2005. IEEE NLP-KE '05. Proceedings of 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9361-9
  • Type

    conf

  • DOI
    10.1109/NLPKE.2005.1598830
  • Filename
    1598830