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Water utility decision support through the semantic web of things

Howell, Shaun, Rezgui, Yacine and Beach, Thomas 2018. Water utility decision support through the semantic web of things. Environmental Modelling and Software 102 , pp. 94-114. 10.1016/j.envsoft.2018.01.006

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Urban environments are urgently required to become smarter. However, building advanced applications on the Internet of Things requires seamless interoperability. This paper proposes a water knowledge management platform which extends the Internet of Things towards a Semantic Web of Things, by leveraging the semantic web to address the heterogeneity of web resources. Proof of concept is demonstrated through a decision support tool which leverages both the data-driven and knowledge-based programming interfaces of the platform. The solution is grounded in a comprehensive ontology and rule base developed with industry experts. This is instantiated from GIS, sensor, and EPANET data for a Welsh pilot. The web service provides discoverability, context, and meaning for the sensor readings stored in a scalable database. An interface displays sensor data and fault inference notifications, leveraging the complementary nature of serving coherent lower and higher-order knowledge.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 1364-8152
Date of First Compliant Deposit: 23 January 2018
Date of Acceptance: 7 January 2018
Last Modified: 25 Jan 2021 15:27

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