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A Hybrid Case-Based Reasoning and Ontology Approach to Intelligent Information Retrieval |
Li Peng1 Qiao Xiaodong1 Zhang Yongjun2 Zhao Xinli1,3 |
1(Institute of Scientifie & Technical Information of China, Beijing 100038,China)
2(China National Petroleum Corporation, Beijing 100724,China)
3(China Science and Technology Exchange Center, Beijing 100045, China) |
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Abstract This paper presentes a new information retrieval framework, which combined Case-Based Reasoning (CBR) and Ontology through the way of using the Ontology to annotate Web pages and design case, also using the CBR to reason about Web page content. The paper gives a system application to tourism as example.
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Received: 11 October 2006
Published: 25 December 2006
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Corresponding Authors:
Zhao Xinli
E-mail: zhaoxl@istic.ac.cn
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About author:: Li Peng,Qiao Xiaodong,Zhang Yongjun,Zhao Xinli |
1黄玉基, 魏伟杰, 曾文. 基于事例推理系统中检索策略的分析与研究——东北大学学报(自然科学版),2006(1):33-36
2Jody J. Daniels, Edwina L. Rissland. A Case-Based Approach to Intelligent Information Retrieval,Proceedings of the SIGIR'95 Conference SIGIR'95 Seattle WA USA 1995 ACM 1995
3Dave RaggettHTML4.01 specification W3C Recommendation, 1999http://www.w3.org/TR/html(Accessed Sept.20,2003)
4余大纲, 邱昭彰, 钟云恭. 案例库推理法于蝴蝶花(Iris)问题之应用台湾:2000 年科技与管理学术研讨会,2000115-126
5寇莎莎, 魏振军. K-最近邻的改进及其在文本分类中的应用河南师范大学学报(自然科学版), 2005(3):134-136
6敖成龙,苏英,龚元明. 基于相似度的复杂数据对象比较北京理工大学学报,2003(10):593-595 |
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