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Knowledge Extraction for the Web of Things (KE4WoT)
Companion Proceedings of the The Web Conference 2018
  • Amelia Gyrard, Wright State University - Main Campus
  • Manas Gaur, Wright State University - Main Campus
  • Swati Padhee, Wright State University - Main Campus
  • Amit Sheth, Wright State University - Main Campus
Document Type
Article
Publication Date
1-1-2018
Abstract

The Web of Things (WoT) is an extension of the Internet of Things (IoT) to ease the access to data generated by things/devices using the benefits of Web technologies. Data is exploited by WoT applications to monitor healthcare or even control home automation devices. The purpose of the Knowledge Extraction for the Web of Things (KE4WoT) challenge is to automatically extract the relevant knowledge from already designed smart WoT applications in various applicative domains. Those applications design and release Knowledge Bases (e.g., datasets and/or models) on the web.

Comments

This paper is published under the Creative Commons Attribution 4.0 International(CC BY 4.0) license. Authors reserve their rights to disseminate the work on their personal and corporate Web sites with the appropriate attribution.

WWW ’18 Companion, April 23–27, 2018, Lyon, France©2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.

DOI
10.1145/3184558.3192305
Citation Information
Amelia Gyrard, Manas Gaur, Swati Padhee and Amit Sheth. "Knowledge Extraction for the Web of Things (KE4WoT)" Companion Proceedings of the The Web Conference 2018 (2018) ISSN: 978-1-4503-5640-4/18/04
Available at: http://works.bepress.com/amit_sheth/632/