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Part of book or chapter of book
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https://doi.org/10.1007/118417...
Part of book or chapter of book . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2020
Data sources: DBLP
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Structured Service Composition

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

Structured Service Composition

Abstract

Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper, we outline a semi-automatic approach for composing a set of services with data flow dependencies into a structured process model. These data flow dependencies can be automatically derived from the input and output messages of each service, but some additional user input is needed to annotate dependencies with specific branching types. Heart of the approach is a fully automatic composition algorithm that given an annotated dependency graph constructs a structured composition. We illustrate the approach by applying it to an example case study from the CrossWork project, which studies the dynamic formation of cross-organisational workflows.

Country
Netherlands
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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).
    11
    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!
11
Average
Top 10%
Top 10%