Improving query precision using semantic expansion |
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| Authors: | Ahmed Abdelali Jim Cowie Hamdy S Soliman |
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| Institution: | 1. Computing Research Laboratory, New Mexico State University, Box 30001/MSC 3CRL, Las Cruces, NM 88003, United States;2. Computer Science Department, New Mexico Institute of Mining and Technology, Socorro, NM 87801-0389, United States |
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| Abstract: | Query Expansion (QE) is one of the most important mechanisms in the information retrieval field. A typical short Internet query will go through a process of refinement to improve its retrieval power. Most of the existing QE techniques suffer from retrieval performance degradation due to imprecise choice of query’s additive terms in the QE process. In this paper, we introduce a novel automated QE mechanism. The new expansion process is guided by the semantics relations between the original query and the expanding words, in the context of the utilized corpus. Experimental results of our “controlled” query expansion, using the Arabic TREC-10 data, show a significant enhancement of recall and precision over current existing mechanisms in the field. |
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| Keywords: | Query Expansion Information Retrieval Precision Latent Semantic Analysis Arabic |
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