NDLI: A flexible exception handling framework for Semantic Programming Language

Content Provider	IEEE Xplore Digital Library
Author	Zhao Kaiu Zhang Linlin Ying Shi
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Software Engineering, Wuhan University, Wuhan, China (Ying Shi) \|\| School of Information Science and Engineering, Xinjiang University, Urumqi, China (Zhao Kaiu; Zhang Linlin)
Abstract	Semantic Web services (SWS) and business process management (BPM) technologies are gradually applied in many domains like electronic commerce and enterprise application integration, which has unavoidably led to the requirements and concerns for effectively recovering from kinds of failures, especially in complex, untamed and dynamic Web environments. Generally, Exception handling is considered to be one of the most important mechanisms for dealing with exception conditions. However, current business process programming languages for semantic Web services provide almost no support for exception handling, and support platforms are weak in providing reliability and adaptability. In this paper, we present a novel framework for flexible exception handling and fault recovery of semantic business processes based on Semantic Programming Language (SPL). Especially, the framework provides forward recovery support with dynamically discovering and substituting failed services when an exception arises during execution by semantically equivalent or semantically similar Web services.
Starting Page	2199
Ending Page	2204
File Size	295491
Page Count	6
File Format	PDF
ISBN	9781612847191
e-ISBN	9781612847221
DOI	10.1109/MEC.2011.6025928
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantic Web Computer languages Web services Exception handling Semantic Web services Multi agent system Semantics Ontologies Reliability Semantic Programming Language Business
Content Type	Text
Resource Type	Article

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