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Ruben Verborgh

Linked Data in the Web of Things

by Gerald Haesendonck, Anastasia Dimou, Ben De Meester, and Ruben Verborgh

The Internet of Things (IoT) consists of many devices and services producing or consuming data over a network, and, by extension, the internet. There are various protocols and data models used by different vendors of things, or middleware, to expose data and APIs to communicate with and consume data of things. The Web of Things (WoT) addresses IoT’s fragmentation by forming a Web-based abstraction layer capable of interconnecting existing IoT platforms, devices, and cloud services and complementing available standards. Specifications of the Web of Things describe data and interaction models exposed to applications, and communication and security requirements for platforms to communicate effectively. At the core of the WoT specifications is the Thing Description, a semantic description of the data and interaction model(s) for a Thing. This helps other Things to perform actions on a Thing, e.g. read or write its properties (the data or state of a Thing). We believe that the WoT can benefit from semantically enhancing a Thing so it contains data values, or state, in the form of self-describing data. This allows powerful semantic processing and reasoning upon its state, and possibly the history of its states. To enable this, we propose a rule-based approach to generate self-describing data from a Thing’s state(s).

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Published in 2019 in Proceedings of the Second W3C Workshop on the Web of Things.

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Cite this article easily using its BibTeX entry:

@inproceedings{haesendonck_w3cwot_2019,
  title = {Linked Data in the {Web of Things}},
  author = {Haesendonck, Gerald and Dimou, Anastasia and De Meester, Ben and Verborgh, Ruben},
  year = 2019,
  month = jun,
  booktitle = {Proceedings of the Second W3C Workshop on the Web of Things},
  url = {https://pdfs.semanticscholar.org/603b/016e5052775c6b44ab0e5602817b7fbb06a9.pdf},
}

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IEEE
G. Haesendonck, A. Dimou, B. De Meester, and R. Verborgh, “Linked Data in the Web of Things,” in Proceedings of the Second W3C Workshop on the Web of Things, 2019.
ACM
Gerald Haesendonck, Anastasia Dimou, Ben De Meester, and Ruben Verborgh. 2019. Linked Data in the Web of Things. In Proceedings of the Second W3C Workshop on the Web of Things.
LNCS
Haesendonck, G., Dimou, A., De Meester, B., Verborgh, R.: Linked Data in the Web of Things. In: Proceedings of the Second W3C Workshop on the Web of Things (2019).
APA
Haesendonck, G., Dimou, A., De Meester, B., & Verborgh, R. (2019). Linked Data in the Web of Things. In Proceedings of the Second W3C Workshop on the Web of Things.
MLA
Haesendonck, Gerald, et al. “Linked Data in the Web of Things.” Proceedings of the Second W3C Workshop on the Web of Things, 2019.

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