Research Data Leeds Repository

Ontologies for describing Properties and Processes of City Infrastructure Assets: the Ground, Roads and Pipes

Citation

Du, Heshan and Clarke, Barry and Entwisle, David and Eskandari Torbaghan, Mehran and Collins, Richard and Stirling, Ross and Curioni, Giulio and Gunn, David and Reeves, Helen and Dimitrova, Vania and Cohn, Anthony G. (2017) Ontologies for describing Properties and Processes of City Infrastructure Assets: the Ground, Roads and Pipes. University of Leeds. [Dataset] https://doi.org/10.5518/190

This item is part of the Assessing the Underworld collection.
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Dataset description

This dataset consists of three city infrastructure asset ontologies, describing the ground, roads and buried pipes respectively. In each of these ontologies, it defines properties and processes of the corresponding asset, as well as how properties and processes affect each other. For example, the stiffness of the ground is influenced by the water content of it. Domain experts in civil engineering, geotechnical engineering, environmental engineering and water engineering are involved in the ontology development. The ontologies are written in OWL 2 Web Ontology Language Manchester Syntax. The ontologies can be used in a broad range of scenarios to support management and maintenance of city infrastructures, and are currently being utilised in the development of a decision support system for integrated urban inter-asset management.

Additional information: The latest version of this dataset is available at https://doi.org/10.5518/1384
Keywords: OWL ontology, asset properties and processes, city infrastructures, sustainable asset management
Divisions: Faculty of Engineering and Physical Sciences > School of Civil Engineering
Faculty of Engineering and Physical Sciences > School of Computing
Related resources:
LocationType
https://doi.org/10.5518/1384Dataset
https://eprints.whiterose.ac.uk/128472/Publication
https://doi.org/10.24963/ijcai.2018/868Publication
https://eprints.whiterose.ac.uk/130595/Publication
https://doi.org/10.1016/j.eswa.2020.113461Publication
https://eprints.whiterose.ac.uk/159561/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 15 May 2017 08:49
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/149

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