Rules and Ontology in Compliance Management

Authors:
Frederick Yip;Nandan Parameswaran;Pradeep Ray
Affiliations:
University of New South Wales, Sydney Australia;University of New South Wales, Sydney Australia;University of New South Wales, Sydney Australia
Venue:
EDOC '07 Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference
Year:
2007

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Abstract

Compliance Management (CM) is the management process that an organization implements to ensure organizational compliance with relevant requirements and expectations. It is a continual, manual and labor intensive process that is proved to be of great challenge for many organizations. CM affects almost every aspect of an organization and is in nature a complex problem due to voluminous knowledge and data involved. In our attempts to automate and simplify compliance, we propose and examine a semantic rule- based approach for modeling compliance knowledge with the use of semantic web rules (SWRL) and web ontology language (OWL). We study the use of exception handling approach to create a more robust rule base to deal with data incompleteness in the semantic web.