A conceptual representation of documents and queries for information retrieval systems by using light ontologies

被引：31

作者：

Dragoni, Mauro ^{[1
]}

Pereira, Celia da Costa ^{[2
]}

Tettamanzi, Andrea G. B. ^{[3
]}

机构：

[1] Fdn Bruno Kessler, I-38123 Trento, Italy

[2] Univ Nice Sophia Antipolis, CNRS, UMR 6070, Lab I3S, F-06903 Sophia Antipolis, France

[3] Univ Milan, DTI, I-26013 Crema, CR, Italy

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 12期

关键词：

Conceptual representation; Lexica; Ontologies; Intelligent information retrieval; VECTOR-SPACE MODEL;

D O I：

10.1016/j.eswa.2012.01.188

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：10376 / 10388

页数：13

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