Semantic policies for modeling regulatory process compliance

Autor(en): El Kharbili, M.
Pulvermueller, E. 
Erscheinungsdatum: 2011
Herausgeber: IGI Global
Journal: Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications
Startseite: 311
Seitenende: 336
Zusammenfassung: 
Business process management (BPM) as a paradigm for enterprise planning and governance is nowadays a core discipline of information systems management. Growing up from the first process re-engineering initiatives in the 1980's, BPM technologies now seek to span all of the organizational silos of enterprises, and also expand vertically from the strategy layers where visions and goals are defined to the lower data transaction layers. Ensuring the compliance of processes to the guidance and control provided to the business by regulations is an obligation to every enterprise. In this work, we motivate the need for automation in compliance management and propose the use of policies as a modeling concept for regulations. We introduce the CASE model for structuring regulatory compliance requirements as policies. Policies shall allow to model regulations at abstraction levels adequate to implementing platform independent mechanisms for policy verification. We describe the CASE model and explain how it can be used to structure and model policies extracted from regulations. This chapter also defines a policy modeling ontology that we propose as a language for formally modeling CASE policies. The basic CASE model and the corresponding policy modeling ontology support compliance of enterprise processes to regulations by enabling automation to compliance checking (verification). The utilization of the CASE method as well as the policy ontology is showcased using an example of resource access control in business processes. © 2012, IGI Global.
ISBN: 9781609601263
DOI: 10.4018/978-1-60960-126-3.ch016
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898314030&doi=10.4018%2f978-1-60960-126-3.ch016&partnerID=40&md5=a81cfd7fa8794354023ef036b7673817

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