Paper Info
Title
Ontology-based metrics computation for business process analysis
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 life-cycle 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.
Year
DOI
Venue
2009
10.1145/1944968.1944976
Proceedings of the 4th International Workshop on Semantic Business Process Management
Keywords
DocType
Citations 
semantic business process management,business process,whole enterprise,business activity,ontology,domain-independent metrics,ontology-based metrics computation,business process analysis,analysing business process,bpm life-cycle,metric,domain-independent ontological framework,general purpose metrics,business process management,business activity monitoring,life cycle
Conference
7
PageRank 
References 
Authors
0.49
16
2
Name
Order
Citations
PageRank
Carlos Pedrinaci175351.22
John Domingue22003189.19