Extendible data model for real-time business process analysis

This paper presents a promising data representation model for real time monitoring of business processes. The main benefit of this representation is that is transparent to the data creation and analysis processes and it is extendible at realtime. The model is based on a shared vocabulary defined using RDF standard representation allowing independence between applications. This model is a novel approach to real-time process data representation and paves the road to a complete new breed of applications for business process analysis.

[1]  Dan Brickley,et al.  Rdf vocabulary description language 1.0 : Rdf schema , 2004 .

[2]  Boudewijn F. van Dongen,et al.  Workflow mining: A survey of issues and approaches , 2003, Data Knowl. Eng..

[3]  Kurt Rohloff,et al.  An Evaluation of Triple-Store Technologies for Large Data Stores , 2007, OTM Workshops.

[4]  Wil M. P. van der Aalst,et al.  Workflow mining: discovering process models from event logs , 2004, IEEE Transactions on Knowledge and Data Engineering.

[5]  Jeremy J. Carroll,et al.  Named graphs , 2005, J. Web Semant..

[6]  Detlef D. Nauck,et al.  Real Time Business Intelligence for the Adaptive Enterprise , 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

[7]  Marcello Leida,et al.  Case Study in Process Mining in a Multinational Enterprise , 2011, SIMPDA.

[8]  Kurt Maly,et al.  Comparison of ontology reasoning systems using custom rules , 2011, WIMS '11.

[9]  Nigel Shadbolt,et al.  Resource Description Framework (RDF) , 2009 .

[10]  E. Prud hommeaux,et al.  SPARQL query language for RDF , 2011 .