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Research Article
Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation
Article first published online: 8 JUL 2008
DOI: 10.1002/asi.20899
© 2008 ASIS&T
Issue
Journal of the American Society for Information Science and Technology
Volume 59, Issue 12, pages 1898–1911, October 2008
Additional Information
How to Cite
Yi, M. (2008), Information organization and retrieval using a topic maps-based ontology: Results of a task-based evaluation. J. Am. Soc. Inf. Sci., 59: 1898–1911. doi: 10.1002/asi.20899
Publication History
- Issue published online: 12 SEP 2008
- Article first published online: 8 JUL 2008
- Manuscript Revised: 2 MAY 2008
- Manuscript Accepted: 2 MAY 2008
- Manuscript Received: 7 DEC 2006
- Abstract
- Article
- References
- Cited By
Abstract
As information becomes richer and more complex, alternative information-organization methods are needed to more effectively and efficiently retrieve information from various systems, including the Web. The objective of this study is to explore how a Topic Maps-based ontology approach affects users' searching performance. Forty participants participated in a task-based evaluation where two dependent variables, recall and search time, were measured. The results of this study indicate that a Topic Maps-based ontology information retrieval (TOIR) system has a significant and positive effect on both recall and search time, compared to a thesaurus-based information retrieval (TIR) system. These results suggest that the inclusion of a Topic Maps-based ontology is a beneficial approach to take when designing information retrieval systems.