An Outlook on Semantic Business Process Mining and Monitoring
Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation that can be achieved within the BPM life-cycle. In
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Eindhoven University of Technology, P.O. Box 513, 5600MB, Eindhoven, The Netherlands {a.k.medeiros,w.m.p.v.d.aalst,m.s.song,a.rozinat}@tue.nl Knowledge Media Institute, The Open University, Milton Keynes, UK {c.pedrinaci,j.b.domingue,b.j.norton,l.s.cabral}@open.ac.uk
Abstract. Semantic Business Process Management (SBPM) has been proposed as an extension of BPM with Semantic Web and Semantic Web Services (SWS) technologies in order to increase and enhance the level of automation that can be achieved within the BPM life-cycle. In a nutshell, SBPM is based on the extensive and exhaustive conceptualization of the BPM domain so as to support reasoning during business processes modelling, composition, execution, and analysis, leading to important enhancements throughout the life-cycle of business processes. An important step of the BPM life-cycle is the analysis of the processes deployed in companies. This analysis provides feedback about how these processes are actually being executed (like common control-flow paths, performance measures, detection of bottlenecks, alert to approaching deadlines, auditing, etc). The use of semantic information can lead to dramatic enhancements in the state-of-the-art in analysis techniques. In this paper we present an outlook on the opportunities and challenges on semantic business process mining and monitoring, thus paving the way for the implementation of the next generation of BPM analysis tools.
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Introduction
Nowadays many companies use information systems to support the execution of their business processes. Examples of such information systems are ERP, CRM or Workflow Management Systems. These information systems usually generate events while executing business processes [9] and these events can be recorded in logs (cf. Figure 1). The competitive world we live in requires companies to adapt their processes in a faster pace. Therefore, continuous and insightful feedback on how business processes are actually being executed becomes essential. Additionally, laws like the Sarbanes-Oxley Act force companies to show their compliance to standards. In short, there is a need for good analysis tools that can provide feedback information about how business process are actually being executed based on the observed (or registered) behavior in event logs. Business Process Management (BPM) systems aim at supporting the whole life-cycle (design, configuration, execution and analysis) necessary to deploy and R. Meersman, Z. Tari, P. Herrero et al. (Eds.): OTM 2007 Ws, Part II, LNCS 4806, pp. 1244–1255, 2007. c Springer-Verlag Berlin Heidelberg 2007
An Outlook on Semantic Business Process Mining and Monitoring
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Fig. 1. Overview of process mining and mo
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