文章基本信息

标题：Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval
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作者：Sun, Lin ; Zhong, Ning ; Xu, Jiucheng 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2013
卷号：8
期号：8
页码：2101-2109
DOI：10.4304/jcp.8.8.2101-2109
语种：English
出版社：Academy Publisher
摘要：Granular computing is a general computing paradigm of problem solving for effectively using granules in problem solving. From the viewpoint of granularity, this paper presents a new granular computing data cycle model in which information granule construction, granular space, information granule operations, and knowledge acquisition approach are proposed respectively. To do a more user oriented way, a multi-strategies model, namely, Base-Level learning strategy, user interest retention strategy, and starting point strategy, introduces to unify search and reasoning for effective problem solving. Then, we discuss granularity-based unification using three strategies mentioned above and show three-levels of granularity from human problem solving to a wide variety of user needs satisfied. Furthermore, on the basis of user-centric multi-strategies and granular information processing, we develop a conceptual framework of granularity-based knowledge retrieval model, which enlarges the application areas of granular computing.
关键词：granular computing;information granule;granularity;multi-strategies;knowledge retrieval