Evaluation of Different Query Expansion Techniques for Arabic Text Retrieval System
- 1 Department of Software Engineering, Al-Isra University, Amman, Jordan
- 2 Department of Computing, Zarqa University, Zarqa, Jordan
- 3 Department of Science and Technology, University of New England, Australia
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 conducted to determine the query effectiveness. First one represents the local context analysis which represents a local method, while a global method was the second technique that has been represented by the Association and similarity thesauruses. These techniques can 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 comparison 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.
Copyright: © 2013 Aysh Alhroob, Hayel Khafajeh and Nisreen Innab. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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- Query Expansion
- Association Thesaurus
- Similarity Thesaurus
- Local Context Analysis
- Natural Language (NL)