Abstract
The main goal of information retrieval is getting the most relevant documents to a user’s query. So, a search engine must not only understand the meaning of each keyword in the query but also their relative senses in the context of the query. Discovering the query meaning is a comprehensive and evolutionary process; the precise meaning of the query is established as developing the association between concepts. The meaning determination process is modeled by a dynamic system operating in the semantic space of WordNet. To capture the meaning of a user query, the original query is reformulating into candidate queries by combining the concepts and their synonyms. A semantic score characterizing the overall meaning of such queries is calculated, the one with the highest score was used to perform the search. The results confirm that the proposed "Query Sense Discovery" approach provides a significant improvement in several performance measures.
Highlights
The major objective of Information Retrieval (IR) systems is to find relevant documents for a user’s query (Grechanik et al, 2010; Zhai et al, 2015) Many IR systems are based on the traditional bag of words (BOW) approach
It can be seen that the Query Sense Discovery (QSD) approach has improved the GMAP by 11.8% compared to the QL model
The QSD model has improved the Rprec by 4.9% over the QL model
Summary
The major objective of Information Retrieval (IR) systems is to find relevant documents for a user’s query (Grechanik et al, 2010; Zhai et al, 2015) Many IR systems are based on the traditional bag of words (BOW) approach. In order to retrieve the truly relevant documents, majority of works on disambiguation (Hirst et al, 1998; Khan and Feng Luo, 2003; Mihalcea and Moldovan, 2000) addresses the problem by measuring the similarity between the initial query and the documents. This method is not optimal, it is necessary to proceed with disambiguation of the query independently of the document, because the ambiguity intrinsically linked to the concepts of this query degrades the search effectiveness.
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