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
|
Preview |
PDF
- Accepted Post-Print Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (816kB) | Preview |
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: | Schools > Engineering |
| Publisher: | Elsevier |
| ISSN: | 1364-8152 |
| Date of First Compliant Deposit: | 23 January 2018 |
| Date of Acceptance: | 7 January 2018 |
| Last Modified: | 20 Aug 2025 21:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/108389 |
Citation Data
Cited 18 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
 |
Edit Item |
Dimensions
Dimensions