Journal article
Integration of association rules and ontologies for semantic query expansion
Data & knowledge engineering, v 63(1), pp 63-75
2007
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Integration of association rules and ontologies for semantic query expansion
- Creators
- Min Song - Department of Information Systems, New Jersey Institute of Technology, University Heights, Newark, NJ 07102, USAIl-Yeol Song - Drexel UniversityXiaohua Hu - Drexel UniversityRobert B. Allen - Drexel University
- Publication Details
- Data & knowledge engineering, v 63(1), pp 63-75
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000247986500005
- Scopus ID
- 2-s2.0-34250196851
- Other Identifier
- 991019169564204721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems