LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Abbache, A; Meziane, F; Belalem, G; Belkredim, F Z
Publisher: IGI Publishing
Languages: English
Types: Article
Subjects:

Classified by OpenAIRE into

ACM Ref: InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL
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.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 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).
    • ACM. doi:10.1145/511446.511489 Cuna, E. F., Alexander, M. R., & Peter, W. (1992). Effectiveness of query expansion in ranked-output document retrieval systems. Journal of Information Science, 18(2), 139-147. doi:10.1177/016555159201800208 Elkateb, S., Black, W., Vossen, P., Farwell, D., Rodríguez, H., Pease, A., & Alkhalifa, M. (2006, October 23).
    • Fellbaum, C. (1998). WordNet: An Electronic Lexical Database. Cambridge: MIT Press.
    • Francesco, C., Massimo, De, S., Luca, G., & Paolo, N. (2013, January 16-17). A Query Expansion Method based on a Weighted Word Pairs Approach. Proceedings of Fourth Italian Information Retrieval Workshop PISA, Pisa, Italy (pp. 17-28).
    • Habash, N. Y. (2010). Introduction to Arabic natural language processing. Machine Translation, 24(3-4), 285-289.
    • Han, L., & Chen, G. (2009). HQE: A hybrid method for query expansion. Expert Systems with Applications, 36(4), 7985-7991. doi:10.1016/j.eswa.2008.10.060 Larkey, L., Ballesteros, L., & Connell, M. (2005). Light Stemming for Arabic Information Retrieval, Arabic Computational Morphology: Knowledge based and Empirical Methods. In A. Soudi, A. Van den Bosch, & G.
    • Neumann (Eds.), Text, Speech, and Language Technology (pp. 221-243). Netherlands: Springer.
    • Miller, G., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. (1990). Introduction to Wordnet: An online lexical database. International Journal Lexicography, 3(4), 235-244. doi:10.1093/ijl/3.4.235 Picariello, A., & Rinaldi, A. M. (2007). User relevance feedback in semantic information retrieval. International Journal of Intelligent Information Technologies, 3(2), 36-50. doi:10.4018/jiit.2007040103 Tingting, W., Yonghe, L., Huiyou, C., Qiang, Z., & Xianyu, B. (2014). A Semantic Approach for Text Clustering Using Wordnet and Lexical Chains. Expert Systems with Applications, 42(4), 2264-2275.
    • Vechtomova, O., & Wang, Y. (2006). A study of the effect of term proximity on query expansion. Journal of Information Science, 2(4), 324-333. doi:10.1177/0165551506065787 Veeramalai, S., & Kannan, A. (2011). Intelligent Information Retrieval Using Fuzzy Association Rule Classifier.
    • International Journal of Intelligent Information Technologies, 7, 14-27.
    • Vitaly, K., & Yannis, H. (2011). A Query Expansion Technique Using the EWC Semantic Relatedness Measure.
    • Informatica International journal of computing and informatics, 35(4), 401-406.
    • Wang, Z., & Qiang, N. (2012). Research on Hybrid Query Expansion Algorithm. International Journal of Hybrid Information Technology, 5(2), 207-212.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article