Integration of association rules and ontologies for semantic query expansion

Document Type

Article

Publication Date

10-1-2007

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. © 2006 Elsevier B.V. All rights reserved.

Identifier

34250196851 (Scopus)

Publication Title

Data and Knowledge Engineering

External Full Text Location

https://doi.org/10.1016/j.datak.2006.10.010

ISSN

0169023X

First Page

63

Last Page

75

Issue

1

Volume

63

Grant

239667

Fund Ref

National Science Foundation

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