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.

• Type: Conference
• Year: 2007
• Where: ICCBR
• Authors: Larry Kerschberg, Hanjo Jeong, Yong Uk Song, Wooju Kim
• Keywords: Collaborative Semantic Search, ICCBR 2007, Knowledge Sifter, Semantic Search