DocumentCode :
2326069
Title :
Describing and Verifying Semantic Web Service Composition with MDA
Author :
Zhu, Zhengdong ; Lan, Ronggui ; Ma, Ruifang ; Chen, Yanping
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´´an Jiaotong Univ., Xi´´an
fYear :
2009
fDate :
23-24 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
Describing and verifying OWL-S with the Unified Modeling Language (UML) cannot only improve the efficiency of developing semantic Web service, but also ensure the correctness of dynamic composition process; abstractly modeling semantic Web services with model-driven architecture (MDA) at a higher level is helpful for dynamically binding services. This paper proposes an effective approach to describe and compose semantic Web service with UML, a verification mechanism is imported to ensure the correctness of semantic Web service composition; class diagrams and use-case diagrams are used to model the static aspect of OWL-S, activity diagrams to model the behavior of an OWL-S composition process. In this paper, the transformation from UML models of semantic Web service composition to the model-checking language Promela was presented for verifying the correctness of Web service composition using automated verification tool SPIN.
Keywords :
Unified Modeling Language; Web services; knowledge representation languages; object-oriented programming; program verification; semantic Web; system monitoring; OWL-S; Promela model-checking language; SPIN automated verification tool; UML; Unified Modeling Language; activity diagram; class diagram; dynamic binding service; dynamic composition process; model-driven architecture; semantic Web service composition verification; Computer architecture; Computer science; Ontologies; Semantic Web; Service oriented architecture; Software design; Software standards; Software systems; Unified modeling language; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and Information System Security, 2009. EBISS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2909-7
Electronic_ISBN :
978-1-4244-2910-3
Type :
conf
DOI :
10.1109/EBISS.2009.5137960
Filename :
5137960
Link To Document :
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