DocumentCode :
2428239
Title :
Integrate Fuzzy Logic into SLN
Author :
Ren, Ke ; Huang, ZhiXing ; Zhao, Anping ; Qiu, Yuhui
Author_Institution :
Semantic Grid Lab., Southwest Univ. Chongqing, Chongqing, China
fYear :
2011
fDate :
24-26 Oct. 2011
Firstpage :
144
Lastpage :
147
Abstract :
SLN is a loosely coupled semantic data model assigned for the network resource management. Integrating fuzzy logic into SLN can be used to handle the ambiguity, uncertainty and imprecision. This paper proposes a novel data model of fuzzy semantic link network, and provides membership functions used to define the fuzzy semantic association degree between the semantic nodes. Its nodes can be any type of resources, and its edges can be any kind of semantic relations, the potential of fuzzy compound semantic links can be got from fuzzy reasoning rules which based on fuzzy semantic relations.
Keywords :
fuzzy logic; fuzzy set theory; inference mechanisms; semantic Web; SLN; fuzzy logic; fuzzy reasoning rules; fuzzy semantic association degree; fuzzy semantic link network; fuzzy semantic relations; network resource management; semantic data model; Cognition; Compounds; Data models; Databases; Object oriented modeling; Semantics; Uncertainty; Fuzzy; SLN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2011 Seventh International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1323-1
Type :
conf
DOI :
10.1109/SKG.2011.15
Filename :
6088103
Link To Document :
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