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Ontology-based metrics computation for business process analysis

Pedrinaci, Carlos and Domingue, John (2009). Ontology-based metrics computation for business process analysis. In: 4th International Workshop on Semantic Business Process Management (SBPM 2009), Workshop at ESWC 2009, 1 June 2009, Crete, Greece.

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Abstract

Business Process Management (BPM) aims to support the whole life-cycle necessary to deploy and maintain business processes in organisations. Crucial within the BPM lifecycle is the analysis of deployed processes. Analysing business processes requires computing metrics that can help determining the health of business activities and thus the whole enterprise. However, the degree of automation currently achieved cannot support the level of reactivity and adaptation demanded by businesses. In this paper we argue and show how the use of Semantic Web technologies can increase to an important extent the level of automation for analysing business processes. We present a domain-independent ontological framework for Business Process Analysis (BPA) with support for automatically computing metrics. In particular, we define a set of ontologies for specifying metrics. We describe a domain-independent metrics computation engine that can interpret and compute them. Finally we illustrate and evaluate our approach with a set of general purpose metrics.

Item Type: Conference Item
Copyright Holders: 2009 The Authors
Keywords: ontology; metric; business activity monitoring; business process analysis; semantic business process management
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 23107
Depositing User: Kay Dave
Date Deposited: 23 Sep 2010 11:31
Last Modified: 05 Oct 2016 06:26
URI: http://oro.open.ac.uk/id/eprint/23107
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