DocumentCode :
724380
Title :
Context computing based component selection for pragmatic composition
Author :
Hu Peng ; Shen Jianjing ; Tao Linbo ; Guo Jia
Author_Institution :
Sch. of Arts & Sci., Inf. Eng. Univ., Zhengzhou, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4021
Lastpage :
4024
Abstract :
Syntactic and semantic composition has problem in achieving the integrity, validity and practicability of simulation component composition. In view of this, this paper analyzes pragmatic composition and simulation context, and proposes the formal definition of simulation Component Context Space (CCS), as well as the approach of component selection based on CCS matching degree, including concept semantic matching degree and value matching degree. The application of the context computing of the simulation component composition shows that, it can provide quantifiable, intuitive basis for component discovery and composition verification on pragmatic level.
Keywords :
object-oriented programming; open systems; CCS matching degree; concept semantic matching degree; context computing based component selection; formal definition; pragmatic composition; semantic composition; simulation component composition; simulation component context space; syntactic composition; value matching degree; Context; Component; Composition; Context; Pragmatic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162626
Filename :
7162626
Link To Document :
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