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

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

doi:10.1007/978-3-540-74141-1_2

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

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

Department of Industrial Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Case-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings
Publisher	Springer Verlag
Pages	16-30
Number of pages	15
ISBN (Print)	9783540741381
DOIs	https://doi.org/10.1007/978-3-540-74141-1_2
Publication status	Published - 2007
Event	7th International Conference on Case-Based Reasoning, ICCBR 2007 - Belfast, Northern Ireland, United Kingdom Duration: 2007 Aug 13 → 2007 Aug 16

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4626 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on Case-Based Reasoning, ICCBR 2007
Country/Territory	United Kingdom
City	Belfast, Northern Ireland
Period	07/8/13 → 07/8/16

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-74141-1_2

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). Springer Verlag. https://doi.org/10.1007/978-3-540-74141-1_2

Kerschberg, Larry ; Jeong, Hanjo ; Song, Yong Uk et al. / A case-based framework for collaborative semantic search in knowledge sifter. Case-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings. Springer Verlag, 2007. pp. 16-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A case-based framework for collaborative semantic search in knowledge sifter",

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.",

author = "Larry Kerschberg and Hanjo Jeong and Song, {Yong Uk} and Wooju Kim",

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Kerschberg, L, Jeong, H, Song, YU & 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4626 LNAI, Springer Verlag, pp. 16-30, 7th International Conference on Case-Based Reasoning, ICCBR 2007, Belfast, Northern Ireland, United Kingdom, 07/8/13. https://doi.org/10.1007/978-3-540-74141-1_2

A case-based framework for collaborative semantic search in knowledge sifter. / Kerschberg, Larry; Jeong, Hanjo; Song, Yong Uk et al.

Case-Based Reasoning Research and Development - 7th International Conference on Case-Based Reasoning, ICCBR 2007, Proceedings. Springer Verlag, 2007. p. 16-30 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4626 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Kerschberg L, Jeong H, Song YU, Kim W. 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. Springer Verlag. 2007. p. 16-30. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74141-1_2

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

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