Volume 7 Number 8 (Aug. 2012)
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JSW 2012 Vol.7(8): 1791-1798 ISSN: 1796-217X
doi: 10.4304/jsw.7.8.1791-1798

Ontology-Based Exception Handling for Semantic Business Process Execution

Kai Zhao1, 2, Linlin Zhang1 and Shi Ying2
1School of Information Science and Engineering, Xinjiang University, Urumqi, China
2State Key Laboratory of Software Engineering (Wuhan University), Wuhan, China

Abstract—Along with the widespread acceptance of business process management (BPM) and Semantic Web services composition technologies, Semantic Web service oriented programming is becoming an efficient way to develop modern business applications. As Semantic Web services are inherently unreliable, how to develop reliable service oriented applications is a significant and challenging problem, especially in complex, untamed and dynamic services environment. However, current business process programming languages for Semantic Web services provide almost no support for exception handling, and runtime environments are weak in providing reliability and adaptability. In this paper, we propose an ontology based exception handling method for semantic business processes using Semantic Programming Language (SPL). We identity a new exception taxonomy described as exception ontology and devise an event-driven exception events detection mechanism. We also devise an exception handling framework based on Multi agent system for SPL program. Especially, the framework provides forward recovery support with dynamically substituting failed services when an exception arises during execution by semantically equivalent or semantically similar Web services.

Index Terms—Exception handling, Semantic Web services, Ontology, Semantic Programming Language, Agent

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Cite: Kai Zhao, Linlin Zhang, and Shi Ying, "Ontology-Based Exception Handling for Semantic Business Process Execution," Journal of Software vol. 7, no. 8, pp. 1791-1798, 2012.

General Information

ISSN: 1796-217X
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jsw@iap.org
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