A Natural Language Interface for IoT Systems Using the Web of Things Abstraction

Gui Z, Freund M, Harth A (2024)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Publisher: Association for Computing Machinery New York NY United States

Pages Range: 3

Conference Proceedings Title: IoT '23: Proceedings of the 13th International Conference on the Internet of Things

Event location: Nagoya Japan

ISBN: 979-8-4007-0854-1

DOI: 10.1145/3627050.3630732

Abstract

We present a demo of a Natural Language Interface (NLI) for controlling Internet of Things (IoT) devices using the Web of Things (WoT) specification as an intermediate abstraction layer. All interaction information of a device is stored in a Knowledge Graph using the thing description ontology. The central component of the NLI is a sequence-to-sequence neural network model for text to code translation. We build a data corpus based on the functionalities of a Philips Hue smart lamp and use the corpus to train the text to code model. Our demonstration illustrates how to control the power state, the light colour, and the brightness of a Philips Hue smart lamp using natural language commands. The implementation of an NLI system based on the WoT specification represents an approach towards the development of easy-to-use and interoperable IoT systems.

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How to cite

APA:

Gui, Z., Freund, M., & Harth, A. (2024). A Natural Language Interface for IoT Systems Using the Web of Things Abstraction. In IoT '23: Proceedings of the 13th International Conference on the Internet of Things (pp. 3). Nagoya Japan: Association for Computing Machinery New York NY United States.

MLA:

Gui, Zhou, Michael Freund, and Andreas Harth. "A Natural Language Interface for IoT Systems Using the Web of Things Abstraction." Proceedings of the IoT 2023: The International Conference on the Internet of Things, Nagoya Japan Association for Computing Machinery New York NY United States, 2024. 3.

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