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A flexible exception handling framework for Semantic Programming Language

Authors: Kai Zhao; Linlin Zhang; Shi Ying;

A flexible exception handling framework for Semantic Programming Language

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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