Extendible data model for real-time business process analysis

Marcello Leida, Andrej Chu, Maurizio Colombo, Basim Majeed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageBritish English
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages1593-1597
Number of pages5
ISBN (Print)9781467329453
DOIs
StatePublished - 2012
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, China
Duration: 10 Dec 201213 Dec 2012

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Country/TerritoryChina
CityHong Kong
Period10/12/1213/12/12

Keywords

  • Business Process Analysis
  • RDF
  • Real Time Processing
  • SPARQL

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