Abstract
The term selection is a potential challenge in query expansion. It concerns with the inability of query expansion techniques to select appropriate terms for expanding query. Most of the existing term selection for query expansion techniques allows the expansion of terms with synonyms from a single semantic dictionary, and this doesn’t provide an efficient information retrieval system due to low precision results. This paper proposed terms interrelationship of term selection value (TI-TSV) for query expansion where terms are expanded based on synonyms from many semantic dictionaries. The proposed TI-TSV employs existing TSV method of term selection based on the three cases. The three Cases for term selection are based on the retrieved top-ranked documents to increase precision results. The experiments are performing on Yusuf Ali, Sarwar and Arberry English Quran translation datasets collected from Tanzil. The results indicate that the proposed TI-TSV has significantly improved the performance of the search system.
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Yusuf, N., Yunus, M.A.M., Wahid, N., Salleh, M.N.M., Mustapha, A. (2021). A Terms Interrelationship Approach to Query Expansion Based on Terms Selection. In: Saeed, F., Mohammed, F., Al-Nahari, A. (eds) Innovative Systems for Intelligent Health Informatics. IRICT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-70713-2_107
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