Web services are becoming more and more complex, involving numerous interacting business objects within complex distributed processes. In order to fully explore Web service business opportunities, while ensuring a correct and reliable execution, analyzing and tracking Web services interactions will enable them to be well understood and controlled. The work described in this paper is a contribution to these issues for Web services based process applications.
This article describes a novel way of applying process mining techniques to Web services logs in order to enable "Web service intelligence". Our work attempts to apply Web service log-based analysis and process mining techniques in order to provide semantical knowledge about the context of and the reasons for discrepancies between process models and related instances.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914853_71.
|Title of host publication||On the Move to Meaningful Internet Systems 2006 (Proceedings OTM Confederated International Conferences, CoopIS, DOA, GADA, and ODBASE, Montpellier, France, October 29-November 3, 2006), Part I|
|Editors||R. Meersman, Z. Tari|
|Place of Publication||Berlin|
|Publication status||Published - 2006|
|Name||Lecture Notes in Computer Science|