Detecting Regulatory Compliance for Business Process Models through Semantic Annotations

被引:0
|
作者
Governatori, Guido [1 ]
Hoffmann, Joerg [2 ]
Sadiq, Shazia [3 ]
Weber, Ingo [2 ]
机构
[1] Natl ICT Australia, Queensland Res Lab, Brisbane, Qld, Australia
[2] SAP Res Karlsruhe, Karlsruhe, Germany
[3] Univ Queensland, Sch Informat Technol & Elect, Brisbane, Qld 4072, Australia
来源
关键词
Regulatory Compliance; Business Process Models; Semantic Annotations;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A given business process may face a large number of regulatory obligations the process may or comply with. Providing tools and techniques to evaluate the compliance degree of a given process is a key objective in emerging business process platforms. We propose a diagnostic framework to assess the compliance gaps present in a given process. Checking whether a process is compliant with the rules involves enumerating all reachable states and is hence, in general, a hard search problem. The approach taken here allows to provide useful diagnostic information in polynomial time based on two underlying techniques. A conceptually faithful representation for regulatory obligations is firstly provided by a formal rule language based on a non-monotonic deontic logic of violations. Secondly, processes are Formalized through semantic annotations that allow a logical state space to be created. The intersection of the two allows us to devise an efficient method to detect compliance gaps.
引用
收藏
页码:5 / +
页数:3
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