Title of article
A conceptual representation of documents and queries for information retrieval systems by using light ontologies
Author/Authors
Dragoni، نويسنده , , Mauro and da Costa Pereira، نويسنده , , Célia and Tettamanzi، نويسنده , , Andrea G.B.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
13
From page
10376
To page
10388
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.
Keywords
Lexica , Conceptual representation , ontologies , Intelligent information retrieval
Journal title
Expert Systems with Applications
Serial Year
2012
Journal title
Expert Systems with Applications
Record number
2352348
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