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Water utility decision support through the semantic web of things

Howell, Shaun, Rezgui, Yacine ORCID: https://orcid.org/0000-0002-5711-8400 and Beach, Thomas ORCID: https://orcid.org/0000-0001-5610-8027 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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Abstract

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: 04 Nov 2022 16:55
URI: https://orca.cardiff.ac.uk/id/eprint/108389

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