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Arabic Query Expansion Using WordNet and Association Rules

Author

Listed:
  • Ahmed Abbache

    (Department of Computer Science, University of Oran 1, Ahmed Ben Bella, Oran, Algeria)

  • Farid Meziane

    (Informatics Research Centre, University of Salford, Salford, UK)

  • Ghalem Belalem

    (Department of Computer Science, University of Oran 1, Ahmed Ben Bella, Oran, Algeria)

  • Fatma Zohra Belkredim

    (Department of Computer Science, University Hassiba Ben bouali of Chlef, Ouled Fares, Algeria)

Abstract

Query expansion is the process of adding additional relevant terms to the original queries to improve the performance of information retrieval systems. However, previous studies showed that automatic query expansion using WordNet do not lead to an improvement in the performance. One of the main challenges of query expansion is the selection of appropriate terms. In this paper, the authors review this problem using Arabic WordNet and Association Rules within the context of Arabic Language. The results obtained confirmed that with an appropriate selection method, the authors are able to exploit Arabic WordNet to improve the retrieval performance. Their empirical results on a sub-corpus from the Xinhua collection showed that their automatic selection method has achieved a significant performance improvement in terms of MAP and recall and a better precision with the first top retrieved documents.

Suggested Citation

  • Ahmed Abbache & Farid Meziane & Ghalem Belalem & Fatma Zohra Belkredim, 2016. "Arabic Query Expansion Using WordNet and Association Rules," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 12(3), pages 51-64, July.
    • Handle: RePEc:igg:jiit00:v:12:y:2016:i:3:p:51-64
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