Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
379442 | Data & Knowledge Engineering | 2007 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Min Song, Il-Yeol Song, Xiaohua Hu, Robert B. Allen,