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Review

IoT Things to Service Matchmaking at the Edge

Nisrine Bnouhanna  1 , Rute C. Sofia  2
Rute C. Sofia  1 , John Soldatos  2
, editors.
In: Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications. Abingdon (UK): River Publishers; 2024 Jan. Chapter 8.
Taylor & Francis Collection of European Union Research and Innovation Funded Monographs and Chapters.
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Review

IoT Things to Service Matchmaking at the Edge

Nisrine Bnouhanna et al.
Free Books & Documents

Excerpt

This chapter debates on the use of Machine Learning (ML) to support edgebased semantic matchmaking to handle a large-scale integration of IoT data sources with IoT platforms. The chapter starts by addressing the interoperability challenges currently faced by integrators, the role of ontologies in this context. It continues with a perspective on semantic matchmaking approaches, and ML solutions that can best support a cognitive matchmaking. The chapter then covers a use case and pilots that arc being developed with a new open-source middleware, TSMatch, in the context of the Horizon 2020 EFPF project, for the purpose of environmental monitoring in smart manufacturing.

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References

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    1. EU-IoT OntoCommons Ontological Interoperability report.

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