Context-aware workflow modeling approach using OWL

Pengfei Wang, Huifang Li, Baihai Zhang

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

3 Citations (Scopus)

Abstract

Context-aware workflow systems can adapt their behavior based on the changes of real world, which is often gathered by a big amount of sensors. Thus, the modeling of context-aware workflow is the key issue in context-aware workflow systems, because context information is often varied and complex. To better describe context information in business processes, this paper proposes an OWL-based (Web Ontology Language) approach to model context-aware workflows. The context model and process model elements is defined based on OWL, so it can not only express the context information involved in business processes but also the corresponding workflow control items as OWL. The modeling rules which make the model more normalized are also designed. Case study and analysis show that our approach has good adaptability, and can be used to easily describe any sophisticated context-aware workflows.

Original languageEnglish
Title of host publication26th Chinese Control and Decision Conference, CCDC 2014
PublisherIEEE Computer Society
Pages4161-4165
Number of pages5
ISBN (Print)9781479937066
DOIs
Publication statusPublished - 2014
Event26th Chinese Control and Decision Conference, CCDC 2014 - Changsha, China
Duration: 31 May 20142 Jun 2014

Publication series

Name26th Chinese Control and Decision Conference, CCDC 2014

Conference

Conference26th Chinese Control and Decision Conference, CCDC 2014
Country/TerritoryChina
CityChangsha
Period31/05/142/06/14

Keywords

  • Context-Aware Computing
  • OWL
  • Workflow
  • Workflow Model

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