DocumentCode :
3260530
Title :
Granulation operators on a knowledge base
Author :
Qian, Yuhua ; Liang, Jiye ; Wei, Wei
Author_Institution :
Key Lab. of Comput. Intell. & Chinese Inf. Process. of Minist. of Educ., Taiyuan
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
538
Lastpage :
543
Abstract :
Knowledge in knowledge bases have two categories: complete and incomplete. In this paper, through uniformly expressing these two kinds of knowledge, we first address four operators on a knowledge base, which are adequate for generating new knowledge through using known knowledge. Then, we establish the relationship between knowledge and knowledge granulation. These results will be very helpful for knowledge discovery from knowledge bases and play a significant role for establishing a framework of granular computing in knowledge bases.
Keywords :
data mining; knowledge based systems; mathematical operators; rough set theory; granular computing; knowledge base system; knowledge discovery; knowledge granulation operator; Artificial intelligence; Computational intelligence; Computer science education; Information entropy; Information processing; Information technology; Laboratories; Lattices; Measurement uncertainty; Set theory; Granular computing; granulation operator; knowledge base; rough set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2008. GrC 2008. IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-2512-9
Electronic_ISBN :
978-1-4244-2513-6
Type :
conf
DOI :
10.1109/GRC.2008.4664631
Filename :
4664631
Link To Document :
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