A Lightweight RDF Data Model for Business Process Analysis

Marcello Leida, Basim Majeed, Maurizio Colombo, Andrej Chu

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

8 Scopus citations

Abstract

This article presents a lightweight data representation model designed to support real time monitoring of business processes. The model is based on a shared vocabulary defined using open standard representations (RDF) allowing independence and extremely flexible interoperability between applications. The main benefit of this representation is that it is transparent to the data creation and analysis processes; furthermore it can be extended progressively when new information is available. Business Process data represented with this data model can be easily published on-line and shared between applications. After the definition of the data model, in this article, we demonstrate that with the use of this representation it is possible to retrieve and make use of domain specific information without any previous knowledge of the process. 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 publicationData-Driven Process Discovery and Analysis - Second IFIP WG 2.6, 2.12 International Symposium, SIMPDA2012, Revised Selected Papers
PublisherSpringer Verlag
Pages1-23
Number of pages23
ISBN (Print)9783642409189
DOIs
StatePublished - 2013
Event2nd IFIP WG 2.6, 2.12 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA2012 - Campione d'Italia, Italy
Duration: 18 Jun 201220 Jun 2012

Publication series

NameLecture Notes in Business Information Processing
Volume162
ISSN (Print)1865-1348

Conference

Conference2nd IFIP WG 2.6, 2.12 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA2012
Country/TerritoryItaly
CityCampione d'Italia
Period18/06/1220/06/12

Keywords

  • business process
  • linked data
  • ontology
  • RDF
  • real time processing
  • SPARQL

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