Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary

TitleKnowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary
Publication TypeConference Paper
Year of Publication2018
AuthorsAmelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth, Juganaru-Mathieu, M
Conference NameCompanion Proceedings of the The Web Conference 2018
Pagination1935–1936
Date Published04/2018
PublisherInternational World Wide Web Conferences Steering Committee
Conference LocationRepublic and Canton of Geneva, Switzerland
ISBN Number978-1-4503-5640-4
KeywordsInternet of Things (IoT), knowledge extraction, Ontologies, Web of Things (WoT)
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.
The purpose of this challenge is to automatically extract the redundant knowledge already designed within existing standardizations, WoT applications, and different communities.
Most of the existing knowledge extraction techniques are frequently applied to text found within documents or social networks. The main novelty of this challenge is to apply web-based knowledge extraction techniques on models.

DOI10.1145/3184558.3192305
Full Text

https://doi.org/10.1145/3184558.3192305
Citation:
Amelie Gyrard, Manas Gaur, Swati Padhee, Amit Sheth and Mihaela Juganaru-Mathieu. Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary. WWW '18 Companion Proceedings of The Web Conference, 23-27 April 2018, Lyon, France

Projects: 
HazardSEES
kHealth
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