A case-based framework for collaborative semantic search in knowledge sifter

Larry Kerschberg, Hanjo Jeong, Yong Uk Song, Wooju Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings
Pages16-30
Number of pages15
Publication statusPublished - 2007 Dec 1
Event7th International Conference on Case-Based Reasoning, ICCBR 2007 - Belfast, Northern Ireland, United Kingdom
Duration: 2007 Aug 132007 Aug 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4626 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Case-Based Reasoning, ICCBR 2007
CountryUnited Kingdom
CityBelfast, Northern Ireland
Period07/8/1307/8/16

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kerschberg, L., Jeong, H., Song, Y. U., & Kim, W. (2007). A case-based framework for collaborative semantic search in knowledge sifter. In Case-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings (pp. 16-30). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4626 LNAI).