Title: Smart Water Semantic Model and Latency Results
Citation
Howell SK, Rezgui Y, Beach TH (2017). Smart Water Semantic Model and Latency Results. Cardiff University. https://doi.org/10.17035/d.2017.0033337116
Access Rights: Creative Commons Attribution 4.0 International
Access Method: https://doi.org/10.17035/d.2017.0033337116 will take you to the repository page for this dataset, where you will be able to download the data or find further access information, as appropriate.
Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2017
Data format: .OWL, .CSV
Software Required: Ontology editor (such as Protege) required to view OWL file
Estimated total storage size of dataset: Less than 100 megabytes
Number of Files In Dataset: 2
DOI : 10.17035/d.2017.0033337116
DOI URL: http://doi.org/10.17035/d.2017.0033337116
The dataset includes an OWL ontology which describes the concepts and relationships in the smart water domain, to integrate data and services across scales in water network management software; primarily those related to GIS and telemetry data. The dataset also includes a CSV file detailing the response times of the ontology when hosted on an Apache Jena triple store and quried repeatedly with SPARQL queries. Research results based upon these data are published at http://dx.doi.org/10.1016/j.autcon.2017.02.004
Description
Related Projects
- Towards a Semantic Web of Things for Smart Cities (01/07/2013 - 30/06/2017)
