Query expansion based-on similarity of terms for improving Arabic information retrieval

Authors

Khaled Shaalan, British University in Dubai
Sinan Al-Sheikh, IBMFollow
Farhad Oroumchian, University of Wollongong in DubaiFollow

RIS ID

72513

Publication Details

Shaalan, K., Al-Sheikh, S. & Oroumchian, F. 2012, 'Query expansion based-on similarity of terms for improving Arabic information retrieval', in Z. Shi, D. Leake & S. Vadera (eds), Intelligent Information Processing VI: Proceedings of 7th IFIP TC12 International Conference, Springer, Heidelberg, pp. 167-176.

Abstract

This research suggests a method for query expansion on Arabic Information Retrieval using Expectation Maximization (EM). We employ the EM algorithm in the process of selecting relevant terms for expanding the query and weeding out the non-related terms. We tested our algorithm on INFILE test collection of CLLEF2009, and the experiments show that query expansion that considers similarity of terms both improves precision and retrieves more relevant documents. The main finding of this research is that we can increase the recall while keeping the precision at the same level by this method.