Rules and Ontology in Compliance Management

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.