期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2013
卷号：4
期号：6
页码：577-583
出版社：ARPN Publishers
摘要：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.
关键词：Query Expansion; WordNet; Information Retrieval; synonyms; Ontology; Semantic; and Search Engine.
