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with these unique features of scientific workflows, many systems have
their own workflow metamodels.
1.4 CONTRIBUTIONS
Besides this chapter, Chapter 2, which introduces the Petri net formalism,
and Chapter 9, which provides a summary, the remaining six chapters can
be categorized into methodologies and applications (Table 1.1).
Chapters 3-5 cover methodologies. Many service composition
approaches are heavyweight, that is, they require much input such as
semantic notation. This topic presents a lightweight approach, by
making the best use of the data structure and relations embedded in
service descriptions, and designing a data-driven composition method.
It is also observed that in real-life scenarios, services do not exactly
match one another. Hence, this topic presents a method to analyze this
Table 1.1
Contributions of This Topic
Chapter
Problem
Contribution
Category
3
A lightweight service
composition approach
Data-driven service
composition
Methodology
4
Compose partial
compatible services
An mediation-aided
approach to analyze
and compose services
Methodology
5
Web service selection
under QoS constraint
QoS aware Web service
functional
configuration
Methodology
6
Application in healthcare
Web service composition
techniques in a
healthcare service
platform
Application
7
Application in e-Science
Web services and
scientific workflows in
e-Science
Application
8
Social network meets
services computing
Network analysis and
reuse of scientific
workflows
Application
