DocumentCode
441847
Title
An algorithm for knowledge integration and refinement
Author
Guo, Ping ; Fan, Li ; Ye, Lian ; Cao, Jian-Qiu
Author_Institution
Sch. of Comput. Sci., Chongqing Univ., China
Volume
4
fYear
2005
fDate
18-21 Aug. 2005
Firstpage
2223
Abstract
Knowledge base is the foundation of intelligent system. It is very important to insure the consistency and non-redundancy of knowledge in knowledge base. The redundant, inclusive and incompatible knowledge must be processed in knowledge-integration due to variety of knowledge source. In this paper, we research the incompatible knowledge elimination approach in knowledge-integration based on rough set theory, and present a new knowledge integration algorithm KIRRS, which is effective to improve the efficiency of knowledge-integration.
Keywords
knowledge based systems; rough set theory; Knowledge base; Knowledge refinement; intelligent system; knowledge elimination approach; knowledge integration algorithm; rough set theory; Computer science; Diagnostic expert systems; Encoding; Expert systems; Genetic algorithms; Humans; Information systems; Intelligent systems; Knowledge based systems; Set theory; Rough set (RS); knowledge base; knowledge integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location
Guangzhou, China
Print_ISBN
0-7803-9091-1
Type
conf
DOI
10.1109/ICMLC.2005.1527314
Filename
1527314
Link To Document