• DocumentCode
    2914868
  • Title

    Evaluating Arabic WordNet Ontology by expansion of Arabic queries using various retrieval models

  • Author

    Trad, R. ; Mustafa, Hossen ; Koroni, R. ; Almaghrabi, A.

  • Author_Institution
    Dept. of Software Eng., Damascus Univ., Damascus, Syria
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    155
  • Lastpage
    162
  • Abstract
    The growing demands on the Arabic language analysis in the computing field highlights the importance of Arabic information retrieval systems in particular, such as search engines, and it´s gaining more interest. One way of enhancing the effectiveness of any information retrieval system is adopted via incorporating query expansion techniques. In this paper, Arabic query expansion is performed by using Arabic WordNet Ontology, and the whole work is evaluated to expose how beneficial is it comparing to the English WordNet Ontology. In fact the medicinal corpus doesn´t show much benefit in the Arabic expansion in any of evaluation measures implemented, which are system´s precision and recall.
  • Keywords
    information retrieval systems; natural language processing; ontologies (artificial intelligence); query processing; Arabic WordNet ontology; Arabic information retrieval system; Arabic language analysis; Arabic query expansion; English WordNet ontology; medicinal corpus; precision evaluation; recall evaluation; retrieval model; search engines; Educational institutions; Indexes; Information retrieval; Large scale integration; Ontologies; Software engineering; Vectors; Arabic expansion; Information Retrieval; Ontology Expansion; WordNet Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT and Knowledge Engineering (ICT & Knowledge Engineering), 2012 10th International Conference on
  • Conference_Location
    Bangkok
  • ISSN
    2157-0981
  • Print_ISBN
    978-1-4673-2316-1
  • Type

    conf

  • DOI
    10.1109/ICTKE.2012.6408547
  • Filename
    6408547