Business process model discovery using semantics

Abstract

Business process model discovery represents a pillar technique that enables business process model reuse. In this paper we describe a method for business process model discovery, which uses semantically annotated business processes. We created an RDF vocabulary for business processes that captures functional, non functional and structural properties that is used in the annotations of basic activities. We developed a set of algorithms to automatically generate different representations of the same business process at different granularity levels. We defined a set of rules to extract the RDF meta data in the annotated business process models and to build an RDF knowledge base which then can be interrogated using SPARQL. © 2011 Springer-Verlag.