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https://doi.org/10.1109/ecows....
Article . 2007 . Peer-reviewed
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Structural Matching of BPEL Processes

Authors: Rik Eshuis; Paul W. P. J. Grefen;

Structural Matching of BPEL Processes

Abstract

BPEL has emerged as the industrial standard language for modelling behavioral aspects of web services. To support business partners in dynamically and flexibly binding their services together, different BPEL processes need to be efficiently matched. This paper identifies and defines various types of structural matching for BPEL processes. The matching definitions are based on heuristics: they take behavioral interaction aspects of the compared services into account, but abstract from irrelevant syntactical differences. Since the definitions are structural, they can be efficiently computed, and thus are useful to support dynamic and flexible binding of services. The approach is illustrated with an example from an existing business scenario.

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Netherlands
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    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).
    35
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
35
Average
Top 10%
Top 10%