One of the main goals of the semantic web services effort is to enable
automated composition of web services. An end-to-end view of the web
service composition process involves automation of composite service
creation, development of executable workflows and deployment on an
execution environment. However, the main focus in literature has been
on the initial part of formally representing web service capabilities
and reasoning about their composition using AI techniques.
Based upon our experience in building an end-to-end composition tool
for application integration in industrial setting, we bring out issues
that have an impact on information modeling aspects of the composition
process. We present pragmatic solutions for problems relating to
scalability and manageability of service descriptions, data flow
construction for operationalizing the composed services and
representation of non-functional requirements.
By: Arun Kumar, Sumit Mittal and Biplav Srivastava
Published in: RI05001 in 2005
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