Semantically Enriched Hypermedia APIs for Next Generation IoT

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Abstract

As the Internet of Things is gaining momentum, the number of Internet connected devices is growing exponentially, as well as the data generated by them. This raises several issues to solve in this field, most notably the ones regarding interoperability between various devices. To ease Machine-to-Machine communication, new data models must be created to explicitly describe devices and their capabilities in a standardized way. This paper discusses the IETF’s Media Types for Hypertext Sensor Markup data model that is currently in the design process. First, we present an overview of how semantic Web technologies can be used create self-describing APIs, and then present a smart home use case that relies on these technologies.

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Mazayev, A., Martins, J. A., & Correia, N. (2018). Semantically Enriched Hypermedia APIs for Next Generation IoT. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 242, pp. 19–26). Springer Verlag. https://doi.org/10.1007/978-3-319-93797-7_3

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