This article presents a vector space model approach to representing documents and queries, based on concepts instead of terms and using WordNet as a light ontology. Such representation reduces information overlap with respect to classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark and on the TREC-7 and TREC-8 Ad-Hoc collections demonstrate the effectiveness of the proposed approach.
A conceptual representation of documents and queries for information retrieval systems by using light ontologies / M. Dragoni, C. da Costa Pereira, A.G.B. Tettamanzi. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 39:12(2012 Sep), pp. 10376-10388. [10.1016/j.eswa.2012.01.188]
A conceptual representation of documents and queries for information retrieval systems by using light ontologies
A.G.B. TettamanziUltimo
2012
Abstract
This article presents a vector space model approach to representing documents and queries, based on concepts instead of terms and using WordNet as a light ontology. Such representation reduces information overlap with respect to classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark and on the TREC-7 and TREC-8 Ad-Hoc collections demonstrate the effectiveness of the proposed approach.
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