An Ontology-Based Intelligent Agent System for Semantic Search in Medicine

  • Jung-Jin Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2891)


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.


Information Retrieval User Interface Agent System Semantic Web Semantic Search 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jung-Jin Yang
    • 1
  1. 1.School of Computer Science and Information EngineeringThe Catholic University of KoreaKyungGi-DoKorea

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