Granular Structure Based Knowledge Retrieval |
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Yi Zeng (1), Yiyu Yao (1,2), Ning Zhong (1,3) |
| (1) International WIC Institute, College of Computer Science, Beijing University of Technology, Beijing 100022 (2) Department of Computer Science, University of Regina, Regina, Canada S4S 0A2 (3) Department of Information Engineering, Maebashi Institute of Technology, Maebashi-City, Japan 371-0816 |
| Abstract Based on the data-information-knowledge-wisdom hierarchy, this paper examines three types of retrieval systems, namely, data retrieval systems (DRS), information retrieval systems (IRS) and knowledge retrieval systems (KRS). It is argued that knowledge retrieval systems, which satisfy user needs of knowledge, will be the next generation in the evolution of retrieval systems. Granular Structure based Knowledge Retrieval and its framework is proposed to meet usersĄŻ requirement of knowledge acquisition, and some basic issues are studied. |
| Key Words Knowledge retrieval, Granular structure, Knowledge representation, Granular computing. |