DCSEAug 1, 2018

Standards-Based Worldwide Semantic Interoperability for IoT

arXiv:1808.00386v172 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of interoperability for heterogeneous IoT systems in global services, though it appears incremental as it builds on existing standards.

The paper tackles the problem of achieving worldwide semantic interoperability for global IoT services by proposing a system architecture that leverages international standards like oneM2M and OMA NGSI-9/10, and it demonstrates how semantic verification can be used to test such complex systems.

Global IoT services (GIoTS) are combining locally available IoT resources with Cloud-based services. They are targeting world-wide services. GIoTS require interoperability between the locally installed heterogeneous IoT systems. Semantic processing is an important technology to enable data mediation as well as knowledge-based processing. This paper explains a system architecture for achieving world-wide semantic interoperability using international standards like oneM2M and the OMA NGSI-9/10 context interfaces (as used in the European Future Internet Platform FIWARE). Semantics also enables the use of Knowledge-based Semantic Processing Agents. Furthermore, we explain how semantic verification enables the testing of such complex systems.

Foundations

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