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
相关论文
共 50 条
  • [31] Business Process Compliance through Reusable Units of Compliant Processes
    Schumm, David
    Turetken, Oktay
    Kokash, Natallia
    Elgammal, Amal
    Leymann, Frank
    van den Heuvel, Willem-Jan
    CURRENT TRENDS IN WEB ENGINEERING, 2010, 6385s : 325 - +
  • [32] Translating Semantic Web Service Based Business Process Models
    Cabral, Liliana
    Domingue, John
    2009 IEEE ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC 2009), 2009, : 1 - 6
  • [33] From Business Process Models to Cloud deployment: a Semantic Approach
    Di Martino, Beniamino
    Esposito, Antonio
    Cretella, Giuseppina
    IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA 2016), 2016, : 121 - 126
  • [34] Machine-Assisted Generation of Semantic Business Process Models
    Wasser, Avi
    Lincoln, Maya
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2015 WORKSHOPS, 2015, 9416 : 357 - 366
  • [35] Automated taxonomy extraction from semantic business process models
    de Cesare, Sergio
    Juric, Damir
    Lycett, Mark
    PROCEEDINGS OF THE 49TH ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS 2016), 2016, : 4394 - 4403
  • [36] Prompt engineering techniques for semantic enhancement in business process models
    Ayad, Sarah
    Alsayoud, Fatimah
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2024,
  • [37] Semantic Support for Security-Annotated Business Process Models
    Ciuciu, Ioana
    Zhao, Gang
    Muelle, Jutta
    von Stackelberg, Silvia
    Vasquez, Cristian
    Haberecht, Thorsten
    Meersman, Robert
    Boehm, Klemens
    ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, 2011, 81 : 284 - +
  • [38] Verifying semantic business process models in inter-operation
    Koliadis, George
    Ghose, Aditya
    2007 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING, PROCEEDINGS, 2007, : 731 - +
  • [39] A tool for the semantic annotation, validation and optimization of business process models
    Di Martino, Beniamino
    Cante, Luigi Colucci
    Esposito, Antonio
    Graziano, Mariangela
    SOFTWARE-PRACTICE & EXPERIENCE, 2023, 53 (05): : 1174 - 1195
  • [40] Detecting Temporal Anomaly and Interestingness in Timed Business Process Models
    Zhao, Deng
    Zhou, Zhangbing
    Wang, Yasha
    Gaaloul, Walid
    2020 IEEE 13TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2020), 2020, : 418 - 422