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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Semantic Method for Query Expansion in an Intelligent Search System

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Author Ejiofor C. I, Williams E. E, Nwachukwu E.O, Theo van der Weide
ISSN 2079-8407
On Pages 577-583
Volume No. 4
Issue No. 6
Issue Date July 01, 2013
Publishing Date July 01, 2013
Keywords Query Expansion, WordNet, Information Retrieval, synonyms, Ontology, Semantic, and Search Engine.


Hundreds of millions of users each day use web search engines to meet their information needs. Advances in web search effectiveness are therefore perhaps the most significant public outcomes of IR research. Query expansion methods have been extensively studied in information retrieval despite the recent advances in search quality; the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are still many situations in which the users are presented with imprecise or very poor results.One of the key difficulties is the fact that users usually submit very short and ambiguous queries, and they do not fully specify their information needs. Query expansion is one such method for enhancing user query to improve search engine performance and satisfy the user need.Adaptive query expansion (QE) allows users to better define their search domain by supplementing the original query with additional terms related to their preferences and information needs. In this work wepropose a novel semantic method based query expansion technique using WordNet, which allows disambiguating queries submitted to search engines. This technique can be seen to significantly improve search engine performance, particularly recall.

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