Name
Abstract | ||
|---|---|---|
Compliance Management (CM) is the management process that an organization implements to ensure organizational compliance with relevant requirements and expectations. Compliance Auditing (CA) is a child-process of CM where compliance rules and policies are individually checked against the organization to determine the level of compliance achieved by the organization. In this paper, we arrange organizational knowledge and facts within OWL ontologies and model compliance rules as adaptive semantic-based rules for compliance audit automation. We study the issues of uncertainty and inconsistency in compliance and propose an adaptive human-like strategy for mimicking conventional compliance auditing. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/EDOCW.2007.33 | EDOCW |
Keywords | DocType | ISSN |
towards robust,adaptive semantic-based compliance auditing,compliance audit automation,conventional compliance auditing,compliance rule,compliance auditing,model compliance rule,compliance management,adaptive human-like strategy,organizational compliance,adaptive semantic-based rule,organizational knowledge,business,computer science,ontologies,software agents,insurance,information systems,chromium,distribution functions,technology management,natural languages,auditing,adaptive systems,cognition,data mining,information technology,organizations,iso,law,mathematical model,privacy,databases,semantic web,accuracy,context modeling,risk management,robustness,security,computational modeling,owl,automation,uncertainty,government,process control | Conference | 2325-6583 |
Citations | PageRank | References |
1 | 0.43 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frederick Yip | 1 | 2 | 0.80 |
| Alfred Ka Yiu Wong | 2 | 16 | 3.35 |
| Nandan Parameswaran | 3 | 51 | 12.10 |
| Pradeep Ray | 4 | 83 | 4.71 |