A Methodology for Search Space Reduction in QoS Aware Semantic Web
  Service Composition
  The semantic information regulates the expressiveness of a web service.
State-of-the-art approaches in web services research have used the semantics of
a web service for different purposes, mainly for service discovery,
composition, execution etc. In this paper, our main focus is on semantic driven
Quality of Service (QoS) aware service composition. Most of the contemporary
approaches on service composition have used the semantic information to combine
the services appropriately to generate the composition solution. However, in
this paper, our intention is to use the semantic information to expedite the
service composition algorithm. Here, we present a service composition framework
that uses semantic information of a web service to generate different clusters,
where the services are semantically related within a cluster. Our final aim is
to construct a composition solution using these clusters that can efficiently
scale to large service spaces, while ensuring solution quality. Experimental
results show the efficiency of our proposed method.
