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An outlook on semantic business process mining and monitoring

de Medeiros, A. K. Alves; Pedrinaci, C.; Aalst, W. M. P.; Domingue, J.; Song, M.; Rozinat, A,; Norton, B. and Cabral, L. (2007). An outlook on semantic business process mining and monitoring. In: Lecture Notes in Computer Science, 4806 pp. 1244–1255.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2007 Springer-Verlag Berlin Heidelberg
ISSN: 0302-9743
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23118
Depositing User: Kay Dave
Date Deposited: 29 Sep 2010 11:27
Last Modified: 15 Jan 2019 05:50
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