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Arabic Query Expansion Using WordNet and Association Rules
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Author(s): Ahmed Abbache (University of Oran 1, Ahmed Ben Bella, Algeria), Farid Meziane (University of Salford, UK), Ghalem Belalem (University of Oran 1, Ahmed Ben Bella, Algeria)and Fatma Zohra Belkredim (University Hassiba Ben bouali of Chlef, Algeria)
Copyright: 2018
Pages: 16
Source title:
Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5191-1.ch054
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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.
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