  Web service composition has been one of the most researched topics of the
past decade. Novel methods of web service composition are being proposed in the
literature include Semantics-based composition, WSDLbased composition. Although
these methods provide promising results for composition, search and discovery
of web service based on QoS parameter of network and semantics or ontology
associated with WSDL, they do not address composition based on usage of web
service. Web Service usage logs capture time series data of web service
invocation by business objects, which innately captures patterns or workflows
associated with business operations. Web service composition based on such
patterns and workflows can greatly streamline the business operations. In this
research work, we try to explore and implement methods of mining web service
usage logs. Main objectives include Identifying usage association of services.
Linking one service invocation with other, Evaluation of the causal
relationship between associations of services
