Integration of association rules and ontologies for semantic query expansion

Min Song, Il Yeol Song, Xiaohua Hu, Robert B. Allen

Research output: Contribution to journalArticle

64 Citations (Scopus)

Abstract

We propose a novel semantic query expansion technique that combines association rules with ontologies and Natural Language Processing techniques. Our technique is different from others in that (1) it utilizes the explicit semantics as well as other linguistic properties of unstructured text corpus, (2) it makes use of contextual properties of important terms discovered by association rules, and (3) ontology entries are added to the query by disambiguating word senses. Using TREC ad hoc queries we achieve from 13.41% to 32.39% improvement for P@20 and from 8.39% to 14.22% for the F-measure.

Original languageEnglish
Pages (from-to)63-75
Number of pages13
JournalData and Knowledge Engineering
Volume63
Issue number1
DOIs
Publication statusPublished - 2007 Oct 1

Fingerprint

Ontology
Association rules
Query expansion
Query
Ad hoc
Natural language processing

All Science Journal Classification (ASJC) codes

  • Information Systems and Management

Cite this

Song, Min ; Song, Il Yeol ; Hu, Xiaohua ; Allen, Robert B. / Integration of association rules and ontologies for semantic query expansion. In: Data and Knowledge Engineering. 2007 ; Vol. 63, No. 1. pp. 63-75.
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Integration of association rules and ontologies for semantic query expansion. / Song, Min; Song, Il Yeol; Hu, Xiaohua; Allen, Robert B.

In: Data and Knowledge Engineering, Vol. 63, No. 1, 01.10.2007, p. 63-75.

Research output: Contribution to journalArticle

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