Query Expansion Based-on Similarity of Terms for Improving Arabic Information Retrieval

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.
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Communication dans un congrès
Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.167-176, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_22〉
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Khaled Shaalan, Sinan Al-Sheikh, Farhad Oroumchian. Query Expansion Based-on Similarity of Terms for Improving Arabic Information Retrieval. Zhongzhi Shi; David Leake; Sunil Vadera. 7th International Conference on Intelligent Information Processing (IIP), Oct 2012, Guilin, China. Springer, IFIP Advances in Information and Communication Technology, AICT-385, pp.167-176, 2012, Intelligent Information Processing VI. 〈10.1007/978-3-642-32891-6_22〉. 〈hal-01524973〉

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