Towards an extended BPMN for modeling and executing IoT-driven, policy-aware business processes
[EN] 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...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/233245 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/233245 |
| Access Level: | acceso embargado |
| Palabra clave: | BPMN Business process IoT ODRL WoT TD |
| Sumario: | [EN] 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\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {X}$$\end{document}tended Business Process Model Notation (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {X}$$\end{document}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. |
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