Standards-Based Worldwide Semantic Interoperability for IoT
Erno Kovacs, Martin Bauer, Jaeho Kim, Jaeseok Yun, Franck Le Gall,, Mengxuan Zhao

TL;DR
This paper presents a system architecture leveraging international standards to achieve global semantic interoperability in IoT, facilitating data mediation and knowledge-based processing for worldwide IoT services.
Contribution
It introduces a standards-based architecture for semantic interoperability in IoT, integrating international standards and semantic verification methods.
Findings
Demonstrates how standards enable semantic interoperability across heterogeneous IoT systems
Shows the role of semantic verification in testing complex IoT systems
Highlights the use of Knowledge-based Semantic Processing Agents
Abstract
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.
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