Abstract
The word mismatch problem is fundamental to Information retrieval. Query expansion process helps to overcome this problem. Based on the Arabic corpuses, the comparisons between two query expansion techniques (global and local query) have been condu cted to determine the query effectiveness. First on e represents the local context analysis which represe nts a local method, while a global method was the s econd technique that has been represented by the Associat ion and similarity thesauruses. These techniques ca n be used in any special field or domain to improve the expansion process and to get more relevant documents for the user’s query. This study introduces a compa rison between these approaches and shows their effectiveness. Although, local context analysis has some advantages over the similarity thesaurus, Association thesaurus which is global is generally the most effective one.
Highlights
AND PREVIOUS WORKSeveral approaches to query expansion have been studied in the past
This study shows the comparison among three query expansion techniques, two of them-similarity thesaurus and association thesaurus-represent the global query expansion technique
In the end we present the results of the comparison technique that show the advantage of similarity thesaurus and association thesaurus and local query expansion
Summary
Several approaches to query expansion have been studied in the past. More recently, attention has been focused on techniques that analyse the entire document corpus to discover word relationships (global analysis) and those that limit the analysis to documents retrieved by the initial query (local analysis). The term mismatch problem between user queries and documents has been introduced by several previous works. One of the earliest studies was carried by (Jones, 1971) who used clustered words based on co-occurrence in documents to expand the query. Global analysis and local analysis techniques are used by (Imran and Sharan, 2009)
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