Using case-based reasoning to improve information retrieval in knowledge management systems

Authors:
Norbert Gronau;Frank Laskowski
Affiliations:
Universität Oldenburg, Department of Business Information Systems, Germany;OFFIS e.V., Oldenburg, Germany
Venue:
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
Year:
2003

Citing 4
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Abstract

Complementary to hypertext navigation, classic information retrieval is broadly used to find information on the World Wide Web and on Web-based systems. Among these there are most knowledge management systems, that typically integrate information accessible on the intranet of an organization or company, and present this information to support users with their knowledge-oriented tasks. In this paper we describe a Case-Based Reasoning component extending information retrieval in the context of KM systems. Our basic assumption is, that a user composing a search query simultaneously is describing a problem he or she seeks to solve. Hence our case-based reasoning component handles an information retrieval request as a description of a problem being part of a case. We will explain how this approach enables various benefits for intelligent query processing and a vast potential for synergies of the case based reasoning component and the embedding knowledge management system.