IoT Things to Service Matchmaking at the Edge

abstract

This chapter debates on the use of Machine Learning (ML) to support edge-based 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 are 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.