Title :
Normative Ontologies for Data-Centric Business Process Management
Author :
Poernomo, Iman ; Umarov, Timur
Author_Institution :
Dept. of Comput. Sci., King´´s Coll. London, London
Abstract :
This paper addresses the problem of describing and analyzing data manipulation within business process workflow specifications. We apply a model-driven approach. We begin with business requirement specifications, consisting of an ontology and an associated set of normative rules, that define the ways in which business processes can interact. We then transform this specification into a Petri Net workflow model and, separately, an Event B specification. The former models can be submitted to further behavioural analysis to ensure, for instance, satisfaction of liveness and safety properties. The latter specifications are important as we can use theorem proving techniques to check and refine data representation with respect to process evolution. An important property of the transformation is semantic equivalence between the Petri net model and Event-B model.
Keywords :
Petri nets; business data processing; formal specification; ontologies (artificial intelligence); workflow management software; Event B specification language; Petri net workflow model; behavioural analysis; business process workflow specification; business requirement specification; data manipulation; data representation; data-centric business process management; liveness property satisfaction; model-driven architecture approach; normative ontology rule; safety property satisfaction; semantic equivalence; theorem proving technique; Computer integrated manufacturing; Computer science; Costs; Data analysis; Educational institutions; Middleware; Object oriented modeling; Ontologies; Petri nets; Vocabulary;
Conference_Titel :
Enterprise Distributed Object Computing Conference Workshops, 2008 12th
Conference_Location :
Munich
Print_ISBN :
978-0-7695-3720-7
DOI :
10.1109/EDOCW.2008.47