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A Verification Method for Temporal Consistency of Service Flow

Authors: Rujuan Liu; Guilan Dai; Changjun Hu; Chongchong Zhao;

A Verification Method for Temporal Consistency of Service Flow

Abstract

Timing constraints verification (such as time consistency) for service flow has become indispensable since many services for e-business are distributed in different places with temporal context. Unfortunately, current researches mainly focus on the modeling, analyzing and verifying of service processes, while ignoring temporal factors. To address the challenges of temporal properties verification for service, the paper presents a method for verifying time constraints consistency of service flow. By building time ontology based on DAML_Time, OWL_S is extended with time constraints, which expresses time information of service flow clearly and roundly. Then the annotated OWL_S is transformed to some kinds of formal models and verification algorithm is presented. A prototype system MC4WST is also designed to prove feasibility of the verification process.

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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!
4
Average
Average
Average
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