Title: Semantically-enabled business process models discovery

Authors: Gabriela Vulcu; Sami Bhiri; Wassim Derguech; María José Ibáñez

Addresses: Digital Enterprise Research Institute, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland. ' Digital Enterprise Research Institute, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland. ' Digital Enterprise Research Institute, National University of Ireland, IDA Business Park, Lower Dangan, Galway, Ireland. ' Department of Computer Science and Systems Engineering, Aragón Institute of Engineering Research (I3A), University of Zaragoza, Mara de Luna 1, E-50018, Zaragoza, Spain

Abstract: Business process (BP) model discovery is a pillar technique for BP model reuse. Current discovery approaches cannot deal with the functional granularity gap that exists between BP models on the one hand, and BP queries on the other hand. In addition, they focus only on the structural dimension and do not consider functional and non-functional requirements. In this paper, we present an approach for BP model discovery which resolves the above problems. We present an RDF vocabulary which captures functional and non-functional aspects in addition to the control flow perspective. Having the functional and non-functional descriptions of basic activities, we use a set of algorithms to compute those of structured activities and therefore derive different representations of the same BP model at different granularity levels. Using a set of extraction rules, we build an RDF knowledge base that can be interrogated using SPARQL.

Keywords: business process modelling; business process discovery; functional granularity gap; RDF; model reuse; functional descriptions; non-functional descriptions.

DOI: 10.1504/IJBPIM.2011.042529

International Journal of Business Process Integration and Management, 2011 Vol.5 No.3, pp.257 - 272

Published online: 18 Mar 2015 *

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