• DocumentCode
    2347440
  • Title

    An ontological model for representing computational lexicons a componential based approach

  • Author

    Al-Yahya, Maha ; Alkhalifa, H. ; Bahanshal, Alia ; Alodah, I. ; Al-Helwah, Nawal

  • Author_Institution
    Inf. Technol. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2010
  • fDate
    21-23 Aug. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In the last decades the computational linguistics community has developed important and widely used lexical resources. Although they are very popular among the Natural Language Processing (NLP) community, they do not address two important characteristics of language. The first is that the meaning of a word in a language is a collective effort defined by the people who use the language. The second is that language is a dynamic entity (some words change their meaning, others become obsolete, new words are born). A computational model which aims to represent this real world entity should be structured in a way that allows for expansion, facilitates collaboration, and provides transparent meaning representation. This paper addresses these two issues and provides a solution based on Semantic Web technologies. The solution is based on an ontological model for representing computational lexicons using the field theory of semantics and componential analysis. The model has been implemented on the “Time” semantic field vocabulary of the Arabic language and the results of a preliminary evaluation are presented.
  • Keywords
    computational linguistics; natural language processing; ontologies (artificial intelligence); text analysis; componential based approach; computational lexicons; computational linguistics; natural language processing; ontological model; semantic Web technologies; Computational modeling; Humans; Ontologies; Pragmatics; Semantics; Syntactics; Vocabulary; Arabic Language; Lexicon; Ontology; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6896-6
  • Type

    conf

  • DOI
    10.1109/NLPKE.2010.5587768
  • Filename
    5587768