Arabic Query Expansion Using WordNet and Association Rules

Article English OPEN
Abbache, A ; Meziane, F ; Belalem, G ; Belkredim, F Z

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, we 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, we are able to exploit Arabic WordNet to improve the retrieval performance. Our empirical results on a sub-corpus from the Xinhua collection showed that our 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.
  • References (22)
    22 references, page 1 of 3

    Abbache, A., Barigou, F., Belkredim, F. Z., & Belalem, G. (2014). The Use of Arabic WordNet in Arabic Information Retrieval. International Journal of Information Retrieval Research, 4(3), 54-65.

    Abderrahim, M. A., Abderrahim, M. E. A., & Chikh, M. A. (2013). Using Arabic WordNet for semantic indexation in information retrieval system. International Journal of Computer Science Issues, 10(1), 327-332.

    Abderrahim, M. E. A. (2013). Utilisation Des Ressources Externes Pour la Reformulation des Requêtes Dans un Système de Recherche d'Information. The Prague Bulletin of Mathematical Linguistics, 99(1), 85-97.

    Baeza-Yates, R., & Ribeiro-Neto, B. (1999). Modern Information Retrieval. USA: Addison Wesley Longman Publishing.

    Bhatnagar, P., & Pareek, N. (2014). Improving pseudo relevance feedback based query expansion using genetic fuzzy approach and semantic similarity notion. Journal of Information Science, 40(4), 523-537.

    doi:10.1177/0165551514533771 Bilel, E., Ibrahim, B., Oussama, B. K., Fabrice, E., & Narjès, B. B. S. (2011). Towards a Possibilistic Information Retrieval System Using Semantic Query Expansion. International Journal of Intelligent Information Technologies, 7(4), 1-25. doi:10.4018/jiit.2011100101 Black, W., Elkateb, S., Rodriguez, H., Alkhalifa, M., Vossen, P., Pease, A., & Fellbaum, C. (2006, January 22-26). Introducing the Arabic WordNet project.Proceedings of the Third International WordNet Conference (GWC), Korea (pp. 255-299).

    Brahmi, A., Ech-Cherif, A., & Benyettou, A. (2012). Arabic texts analysis for topic modeling evaluation.

    Information Retrieval Journal, 15(1), 33-53. doi:10.1007/s10791-011-9171-y Carpineto, C., & Romano, G. (2012). A survey of automatic query expansion in information retrieval. Journal ACM Computing Surveys, 44(1).

    Christopher, D. M., Prabhakar, R., & Hinrich, S. (2008). Introduction to Information Retrieval. England: Cambridge University Press.

    Cui, H., Wen, J. R., Nie, J. Y., & Ma, W. Y. (2002, May 7-11). Probabilistic query expansion using query logs, Proceedings of the Eleventh International World Wide Web Conference, Honolulu, Hawaii, USA (pp. 325-332).

  • Metrics
    0
    views in OpenAIRE
    0
    views in local repository
    311
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    University of Salford Institutional Repository - IRUS-UK 0 311
Share - Bookmark