Abstract
This paper proposes a semiautomatic method to build a domain ontology using the results of text analysis and applies it to a document retrieval system. In order to present usefulness for retrieving a document using the hierarchical relations in an ontology, this study compares a typical keyword based retrieval method with an ontology based retrieval method, which uses related information in an ontology for a related feedback. As a result, the latter shows the improvement of precision and recall by 4.97% and 0.78% respectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baeza-Yates, R., Robeiro-Neto, B.: Modern Information Retrieval. ACM Press, New York (1999)
Bettina, B., Andreas, H., Gerd, S.: Towards Semantic Web Mining. In: Horrocks, I., Hendler, J. (eds.) ISWC 2002. LNCS, vol. 2342, p. 264. Springer, Heidelberg (2002)
Kang, S.J., Lee, J.H.: Semi-Automatic Practical Ontology Construction by Using a Thesaurus, Computational Dictionaries, and Large Corpora. In: ACL 2001 Workshop on Human Language Technology and Knowledge Management, Toulouse, France (2001)
Klavans, J., Muresan, S.: DEFINDER:Rule-Based Methods for the Extraction of Medical Terminology and their Associated Definitions from On-line Text. In: Proceedings of AMIA Symposium, pp. 201–202 (2000)
Missikoff, M., Velardi, P., Fabriani, P.: Text Mining Techniques to Automatically Enrich a Domain Ontology. Applied Intelligence 18, 322–340 (2003)
Lim, S.-Y., Song, M.-H., Lee, S.-J.: Domain-specific Ontology Construction by Terminology Processing. Journal of the Korea Information Science Society(B), Journal of the Korea Information Science Society 31(3), 353–360 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lim, SY., Park, SB., Lee, SJ. (2005). Document Retrieval Using Semantic Relation in Domain Ontology. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_42
Download citation
DOI: https://doi.org/10.1007/11495772_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26219-0
Online ISBN: 978-3-540-31900-9
eBook Packages: Computer ScienceComputer Science (R0)