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<p>This paper discusses how to close the gap between two&#xa0;separate worlds referred to as Business Process&#xa0;(BP) and Internet of Things&#xa0;(IoT). The former captures organizations’ know-how like claim processing while the latter manages physical devices/things like sensors provisioning services to users. Building upon the Business Process Model Notation&#xa0;(BPMN), an OMG&#xa0;standard for BP modeling, the Web-of-Thing Thing Description&#xa0;(WoT-TD), a W3C&#xa0;standard for thing representation, and the Open Digital Rights Language&#xa0;(ODRL), a W3C&#xa0;recommendation for asset control, the paper introduces e<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(\mathcal {X}\)</EquationSource> </InlineEquation>tended Business Process Model Notation&#xa0;(<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(\mathcal {X}\)</EquationSource> </InlineEquation>BPMN) for modeling Thing-aware Processes&#xa0;(TaPs) along with executing them on a microservice-based process engine. Experiments in the paper demonstrate the technical doability of closing the gap between the BP and IoT worlds.</p>

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Towards an extended BPMN for modeling and executing IoT-driven, policy-aware business processes

  • 期刊论文

  • 发表日期：

    2025年12月26日

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  • Pedro Valderas,
  • Zakaria Maamar,
  • Amel Benna

摘要

This paper discusses how to close the gap between two separate worlds referred to as Business Process (BP) and Internet of Things (IoT). The former captures organizations’ know-how like claim processing while the latter manages physical devices/things like sensors provisioning services to users. Building upon the Business Process Model Notation (BPMN), an OMG standard for BP modeling, the Web-of-Thing Thing Description (WoT-TD), a W3C standard for thing representation, and the Open Digital Rights Language (ODRL), a W3C recommendation for asset control, the paper introduces e \(\mathcal {X}\) tended Business Process Model Notation ( \(\mathcal {X}\) BPMN) for modeling Thing-aware Processes (TaPs) along with executing them on a microservice-based process engine. Experiments in the paper demonstrate the technical doability of closing the gap between the BP and IoT worlds.