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In nowadays’ IoT, data have to be exchanged among heterogeneous protocols in many practical scenarios. The differences of the data representations and data structures among these protocols dramatically hinder the interworking, the accumulation as well as the analysis and utilization of IoT data. A famous IoT horizontal platform standardization called oneM2M was established. Besides the conventional specific interworking, oneM2M proposed option interworking method called Ontology Based Interworking for the data exchange between oneM2M and other protocols. This paper analyzes the problems existing in Ontology Based Interworking of oneM2M and proposes the framework to solve it. The heterogeneous IoT data are first abstracted using the Base Ontology introduced by oneM2M. By extending the Base Ontology with new meta-fields, the I/O API interfaces of other IoT protocols are represented in the composed ontology, which facilitates the common design of the data exchange processes among different IoT protocols. For evaluation of the proposed framework, interworking applications are made for some representative IoT protocols/PFs, such as LoRaWAN and Device Web API. The effectiveness of the common data exchange processes proposed in this paper is evaluated. The development cost of these interworking proxy entities is dramatically reduced, and the flexibility of the framework when new devices and protocols try to connect to the oneM2M platform turns to be obviously improved after applying the common interworking flows.
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