Semantic annotation of service choreographies

Abstract

In a previous paper, we discussed a methodology for the extension of the service choreography model based on ontologies. The main purpose was to extract syntactically and semantically correct recommendations (model annotations) for the process modeler in view of model analysis and improvement. This paper presents ongoing work with a focus on the ontology used for recommendation retrieval and the way the semantic recommender captures and analyses the modeler’s intentions. We discuss similarity computation (which is at the basis of semantic model annotation) at several levels and illustrate it with examples.