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Article Dans Une Revue Informatica Année : 2011

A Query Expansion Technique Using the EWC Semantic Relatedness Measure

Résumé

This paper analyses the efficiency of the EWC semantic relatedness measure in an ad-hoc retrieval task. This measure combines the Wikipedia-based Explicit Semantic Analysis (ESA) measure, the WordNet path measure and the mixed collocation index. EWC considers encyclopaedic, ontological, and collocational knowledge about terms. This advantage of EWC is a key factor to find precise terms for automatic query expansion. In the experiments, the open source search engine Terrier is utilised as a tool to index and retrieve data. The proposed technique is tested on the NTCIR data collection. The experiments demonstrated superiority of EWC over ESA.
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hal-00959916 , version 1 (07-11-2022)

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  • HAL Id : hal-00959916 , version 1

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Vitaly Klyuev, Yannis Haralambous. A Query Expansion Technique Using the EWC Semantic Relatedness Measure. Informatica, 2011, 35, pp.401-406. ⟨hal-00959916⟩
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