Abstract
The volume of literature in the medical domain is expanded exponentially and generating a proper query for finding related information puts a cognitive burden on users, due to a full of professional keywords in the domain. We describe an ontology-based information retrieval agent system in medicine through bio-related literature database MEDLINE, in particular. The task of interface agent system here is to proactively help user to reformulate queries in order to get useful and relevant information by utilizing both existing medical ontologies and its own agent ontology. Agent ontology is in the form of the Semantic Web languages. The goal of the research is to improve the quality of information retrieval and reduce user’s cognitive load during information search by employing agent system for semantic search. Empirical results are evaluated and discussed for agent performance.
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
Sowa, J.: Knowledge Representation: Logical, Philosophical, and Computational Foundations. PWS Publishing Co., New York (1999)
Uschold, M., Jasper, R.: A Framework for Understanding and Classifying Ontology Applications. In: Proceedings of the IJCAI 1999 Workshop on Ontologies and Problem-Solving Methods (1999)
Karp, P.: An Ontology for biological function based on molecular interactions. Bioinformatics 16(3), 269–285 (2000)
Semantic Web in W3C, http://www.w3c.org/2001/sw
Hunt, D., McKibbon, K.: Locating and appraising systematic reviews. Ann. Intern. Med. 126, 532–538 (1997)
Glanville, J., Lefebvre, C.: Identifying systematic reviews: key resources. ACP J. Club. 132, A11–2 (2000)
Bero, L., Jadad, A.: How consumers and policymakers can use systematic reviews for decision making. Ann. Intern. Med. 127, 37–42 (1997)
Eberhart, A.: An Agent Infrastructure based on Semantic Web Standards. submitted to Elsevier Science (May 2002)
Boley, H., Tabet, S., Wagner, G.: Design rationale of RuleML: A markup language for Semantic Web rules. In: Semantic Web Working Symposium (2001)
TRIPLE Semantic Web (March 2002), http://triple.semanticweb.org/
Harrison, J.: Designing a search strategy to identify and retrieve articles on evidencebased health care using MEDLINE. Health Library Review 14(1), 33–42 (1997)
Abasolo, J.M., Gomez, M.: MELISA. An ontology-based agent for information retrieval in medicine. In: Semantic Web Proceedings in 2002 (2002)
Shah, U., Finin, T., Joshi, A., Cost, R.S., Mayfield, J.: Information Retrieval on the Semantic Web. submitted to 2nd Conf. Semantic Web (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, JJ. (2003). An Ontology-Based Intelligent Agent System for Semantic Search in Medicine. In: Lee, J., Barley, M. (eds) Intelligent Agents and Multi-Agent Systems. PRIMA 2003. Lecture Notes in Computer Science(), vol 2891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39896-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-540-39896-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20460-2
Online ISBN: 978-3-540-39896-7
eBook Packages: Springer Book Archive