Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval
|
| Title | Granularity-Based User-Centric Multi-Strategies and Application in Knowledge Retrieval |
| Authors | |
| Abstract | 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. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2013-08-01 |
| Source | Journal of Computers Vol 8, No 8 (2013) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |