Semantically-enabled business process models discovery Online publication date: Wed, 18-Mar-2015
by Gabriela Vulcu; Sami Bhiri; Wassim Derguech; María José Ibáñez
International Journal of Business Process Integration and Management (IJBPIM), Vol. 5, No. 3, 2011
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Process Integration and Management (IJBPIM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook