Abstract
Organizations face more and more the burden to show that their business is compliant with respect to many different boundaries. The activity of compliance checking is commonly referred to as auditing. As information systems supporting the organization’s business record their usage, process mining techniques such as conformance checking offer the auditor novel tools to automate the auditing activity. However, these techniques tend to look at process instances (i.e., cases) in isolation, whereas many compliance rules can only be evaluated when considering interactions between cases and contextual information. For example, a rule like “a paper should not be reviewed by a reviewer that has been a co-author” cannot be checked without considering the corresponding context (i.e., other papers, other issues, other journals, etc.). To check such compliance rules, we link event logs to the context. Events modify a pre-existing context and constraints can be checked on the resulting context. The approach has been implemented in ProM. The resulting context is represented as an ontology, and the semantic web rule language is used to formalize constraints.
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References
van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Berlin (2011)
van der Aalst, W.M.P., Adriansyah, A., van Dongen, B.F.: Replaying History on Process Models for Conformance Checking and Performance Analysis. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 2(2), 182–192 (2012)
van der Aalst, W.M.P., van Hee, K.M., van der Werf, J.M.E.M., Kumar, A., Verdonk, M.: Conceptual Model for Online Auditing. Decision Support Systems 50(3), 636–647 (2011)
van der Aalst, W.M.P., van Hee, K.M., van der Werf, J.M.E.M., Verdonk, M.: Auditing 2.0: Using Process Mining to Support Tomorrow’s Auditor. IEEE Computer 43(3), 102–105 (2010)
Accorsi, R., Stocker, T.: On the Exploitation of Process Mining for Security Audits: The Conformance Checking Case. In: ACM Symposium on Applied Computing. ACM (2012)
Alles, M.G., Kogan, A., Vasarhelyi, M.A.: Putting Continuous Auditing Theory into Practice: Lessons from Two Pilot Implementations. Journal of Information Systems 22(2), 195–214 (2008)
Chan, D.Y., Vasarhelyi, M.A.: Innovation and Practice of Continuous Auditing. International Journal of Accounting Information Systems 12(2), 152–160 (2011)
World Wide Web Consortium. SWRL: A Semantic Web Rule Language Combining OWL and RuleML (2011), http://www.w3.org/Submission/SWRL/
Haworth, D.A., Pietron, L.R.: Sarbanes-Oxley: Achieving compliance by starting with ISO 17799. Information Systems Management 23(1), 73–87 (2006)
Dumas, M., van der Aalst, W.M.P., ter Hofstede, A.H.M.: Process-Aware Information Systems: Bridging People and Software through Process Technology. John Wiley & Sons, Inc. (2005)
Elliot, R.K.: Assurance Service Opportunities: Implications for Academia. Accounting Horizons 11(4), 61–74 (1997)
Filipowska, A., Kaczmarek, M., Kowalkiewicz, M., Markovic, I., Zhou, X.: Organizational Ontologies to Support Semantic Business Process Management. In: International Workshop on Semantic Business Process Management, pp. 35–42. ACM (2009)
Fox, M.S., Barbuceanu, M., Gruninger, M.: An Organisation Ontology for Enterprise Modelling: Preliminary Concepts for Linking Structure and Behaviour. Computers in Industry 29(1-2), 123–134 (1996); WET ICE 1995
Ghose, A., Koliadis, G.: Auditing Business Process Compliance. In: Krämer, B.J., Lin, K.-J., Narasimhan, P. (eds.) ICSOC 2007. LNCS, vol. 4749, pp. 169–180. Springer, Heidelberg (2007)
Goedertier, S., Mues, C., Vanthienen, J.: Specifying Process-Aware Access Control Rules in SBVR. In: Paschke, A., Biletskiy, Y. (eds.) RuleML 2007. LNCS, vol. 4824, pp. 39–52. Springer, Heidelberg (2007)
Jans, M., van der Werf, J.M.E.M., Lybaert, N., Vanhoof, K.: A Business Process Mining Application for Internal Transaction Fraud Mitigation. Expert Systems with Applications 38(10), 13351–13359 (2011)
Ramezani, E., Fahland, D., van der Werf, J.M., Mattheis, P.: Separating Compliance Management and Business Process Management. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part II. LNBIP, vol. 100, pp. 459–464. Springer, Heidelberg (2012)
Rosemann, M., Recker, J.C., Flender, C.: Contextualisation of Business Processes. Int. Journal of Business Process Integration and Management 3(1), 47–60 (2008)
Green, S.: Manager’s Guide to the Sarbanes-Oxley Act: Improving Internal Controls to Prevent Fraud. Wiley (2004)
Sadiq, S., Governatori, G., Namiri, K.: Modeling Control Objectives for Business Process Compliance. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 149–164. Springer, Heidelberg (2007)
Vasarhelyi, M.A., Halper, F.: The Continuous Audit of Online Systems. Auditing: A Journal of Practice & Theory 10(1), 110–125 (1991)
Verbeek, H.M.W., Buijs, J.C.A.M., van Dongen, B.F., van der Aalst, W.M.P.: XES, XESame, and ProM 6. In: Soffer, P., Proper, E. (eds.) CAiSE Forum 2010. LNBIP, vol. 72, pp. 60–75. Springer, Heidelberg (2011)
W3C. OWL 2 Web Ontology Language (2009)
Wielemaker, J., Schreiber, G., Wielinga, B.: Prolog-Based Infrastructure for RDF: Scalability and Performance. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 644–658. Springer, Heidelberg (2003)
Williams, B.C.: Auditing and recent Developments in IT. Managerial Auditing Journal 7(5), 18–25 (1992)
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van der Werf, J.M.E.M., Verbeek, H.M.W., van der Aalst, W.M.P. (2012). Context-Aware Compliance Checking. In: Barros, A., Gal, A., Kindler, E. (eds) Business Process Management. BPM 2012. Lecture Notes in Computer Science, vol 7481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32885-5_7
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DOI: https://doi.org/10.1007/978-3-642-32885-5_7
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