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

被引：0

作者：

Kerschberg, Larry ^{[1
]}

Jeong, Hanjo ^{[1
]}

Song, Yong Uk ^{[2
]}

Kim, Wooju ^{[3
]}

机构：

[1] George Mason Univ, E Ctr E Business, Fairfax, VA 22030 USA

[2] Yonsei Univ, Wonji Campus, Dept MIS, Seoul 120749, South Korea

[3] Yonsei Univ, Dept Informat & Ind Engn, Seoul 120749, South Korea

来源：

CASE-BASED REASONING RESEARCH AND DEVELOPMENT, PROCEEDINGS | 2007年 / 4626卷

关键词：

agents; semantic search; collaborative filtering; case-based frameworks; knowledge sifter;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：16 / +

页数：3

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