A Case-Based Framework for Collaborative Semantic Search in Knowledge Sifter

Authors:
Larry Kerschberg;Hanjo Jeong;Yong Uk Song;Wooju Kim
Affiliations:
E-Center for E-Business and Department of Computer Science Volgenau School of Information Technology and Engineering George Mason University, Fairfax, Virginia, USA;E-Center for E-Business and Department of Computer Science Volgenau School of Information Technology and Engineering George Mason University, Fairfax, Virginia, USA;Department of MIS, Yonsei University Wonju Campus, Kangwon, Korea;Department of Information and Industrial Engineering, Yonsei University, Seoul, Korea
Venue:
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Year:
2007

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Abstract

This paper addresses the role of case-based reasoning in semantic search, and in particular, as it applies to Knowledge Sifter, an agent-based ontology-driven search system based on Web services. The Knowledge Sifter architecture is extended to include a case-based methodology for collaborative semantic search, including case creation, indexing and retrieval services. A collaborative filtering methodology is presented that uses stored cases as a way to improve user query specification, refinement and processing.