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2007
Springer

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

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A Case-Based Framework for Collaborative Semantic Search in Knowledge Sifter
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.
Larry Kerschberg, Hanjo Jeong, Yong Uk Song, Wooju
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICCBR
Authors Larry Kerschberg, Hanjo Jeong, Yong Uk Song, Wooju Kim
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