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Increasing interoperability in the Web of Things using Autonomous Agents (Position Paper)

Abstract : The Web of Things (WoT) aims to enable interoperability across the Internet of Things (IoT) and application domains. However, the number and heterogeneity of connected devices continues to grow. The integration of multiple Things with different interaction methods requires human effort and intervention, and is increasingly challenging as their heterogeneity grows. Some form of automation of this task, for example by delegating new service compositions to autonomous agent, would require mechanisms for uniform access and interaction among Things. In this position paper, we investigate how Semantic Interoperability Solutions (SIS) can be combined with multi-agent systems (MAS), to allow agents to autonomously interact with these WoT resources. We use as a starting point the work of the Web of Things Working Group at W3C (World Wide Web Consortium). We identify and describe issues related to i) the representation, ii) the discovery and selection of Things, and iii) the interaction between agents and Things. We claim that these issues are the core tenets to ensure this integration using MAS, WoT and SIS.
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https://hal-emse.ccsd.cnrs.fr/emse-02890165
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Submitted on : Monday, July 6, 2020 - 10:31:26 AM
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  • HAL Id : emse-02890165, version 1

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Edison Chung, Maxime Lefrançois, Olivier Boissier. Increasing interoperability in the Web of Things using Autonomous Agents (Position Paper). 18e Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2020 (RJCIA), Jun 2020, Angers, France. ⟨emse-02890165⟩

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