Paper Info
Title
Semantic-Based Fuzzy Reasoning for Compliance Auditing
Abstract
Compliance Management (CM) is increasingly becoming a burden for many organizations due to its cumbersome and labor intensive process. As a result, many experts agree that compliance should be automated as much as possible. Recent efforts in agent based and semantic driven compliance management (CM) are being actively explored in an attempt to tackle challenges in compliance automation. Ontologies and semantic web rules are the fundamental and enabling tools that facilitate the application of compliance automation. In this paper, we discuss the challenges of compliance management, recap on a semantic-based approach discussed in our existing works and highlight the requirements for fuzzy support. Fuzzy extensions are then proposed to enhance the support for intelligent reasoning with uncertain and missing information through the use of Weighted Fuzzy Production Rules (WFPR) and Fuzzy Petri Nets (FPN).
Year
DOI
Venue
2008
10.1109/ICSC.2008.64
ICSC
Keywords
Field
DocType
compliance automation,fuzzy support,semantic-based fuzzy reasoning,intelligent reasoning,compliance auditing,existing work,enabling tool,semantic web rule,compliance management,weighted fuzzy production rules,fuzzy extension,fuzzy petri nets,petri net,ontologies,cognition,petri nets,ontology,robustness,production,semantic web,fuzzy set theory,auditing
Ontology (information science),Ontology,Audit,Petri net,Computer science,Fuzzy logic,Knowledge management,Semantic Web,Fuzzy set,Automation,Risk analysis (engineering)
Conference
Citations 
PageRank 
References 
1
0.36
8
Authors
4
Name
Order
Citations
PageRank
Frederick Yip120.80
Alfred Ka Yiu Wong2163.35
Nandan Parameswaran35112.10
Pradeep Ray49115.68