• DocumentCode
    1697319
  • Title

    Arabic WordNet semantic relations enrichment through morpho-lexical patterns

  • Author

    Boudabous, M.M. ; Kammoun, N.C. ; Khedher, N. ; Belguith, L.H. ; Sadat, F.

  • Author_Institution
    MIRACL Lab., Fac. of Econ. & Manage. of Sfax, Sfax, Tunisia
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Arabic WordNet (AWN) ontology is one of the most interesting lexical resources for Modern Standard Arabic. Although, its development is based on Princeton WordNet, it suffers from some weaknesses such as the absence of some words and some semantic relations between synsets. In this paper we propose a linguistic method based on morpho-lexical patterns to add semantic relations between synsets in order to improve the AWN performance. This method relies on two steps: morpho-lexical patterns definition and Semantic relations enrichment. We will take advantage of defined patterns to propose a hybrid method for building Arabic ontology based on Wikipedia.
  • Keywords
    Web sites; natural language processing; ontologies (artificial intelligence); text analysis; AWN ontology; Arabic WordNet ontology; Arabic WordNet semantic relations enrichment; Princeton WordNet; Wikipedia; linguistic method; morpho-lexical patterns definition; Electronic publishing; Encyclopedias; Internet; Ontologies; Pragmatics; Semantics; Arabic WordNet; Morpho-lexical patterns; NooJ; NooJ grammars; Ontology; Wikipedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Signal Processing, and their Applications (ICCSPA), 2013 1st International Conference on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4673-2820-3
  • Type

    conf

  • DOI
    10.1109/ICCSPA.2013.6487245
  • Filename
    6487245