Infrastructure and cities ontologies

Simple item page
dc.contributor.authorVarga, Liz
dc.contributor.authorMcMillan, Lauren
dc.contributor.authorHallett, Stephen
dc.contributor.authorRussell, Tom
dc.contributor.authorSmith, Luke
dc.contributor.authorTruckell, Ian
dc.contributor.authorPostnikov, Andrey
dc.contributor.authorRodger, Sunil
dc.contributor.authorVizcaino, Noel
dc.contributor.authorPerkins, Bethan
dc.contributor.authorMatthews, Brian
dc.contributor.authorLomax, Nik
dc.date.accessioned2024-02-22T15:47:58Z
dc.date.available2024-02-22T15:47:58Z
dc.date.issued2022-07-26
dc.description.abstractThe creation and use of ontologies has become increasingly relevant for complex systems in recent years. This is because of the growing number of use of cases that rely on real-world integration of disparate systems, the need for semantic congruence across boundaries and the expectations of users for conceptual clarity within evolving domains or systems of interest. These needs are evident in most spheres of research involving complex systems, but they are particularly apparent in infrastructure and cities where traditionally siloed and sectoral approaches have dominated, undermining the potential for integration to solve societal challenges such as net zero, resilience to climate change, equity and affordability. This paper reports on findings of a literature review on infrastructure and city ontologies and puts forward some hypotheses inferred from the literature findings. The hypotheses are discussed with reference to the literature and provide avenues for further research on (a) belief systems that underpin non-top-level ontologies and the potential for interference from them, (b) the need for a small number of top-level ontologies and translation mechanisms between them and (c) clarity on the role of standards and information systems in the adaptability and quality of data sets using ontologies. A gap is also identified in the extent that ontologies can support more complex automated coupling and data transformation when dealing with different scales.en_UK
dc.identifier.citationVarga L, McMillan L, Hallett S, et al., (2023) Infrastructure and city ontologies, Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, Volume 176, Issue 2, June 2023, pp. 43-52en_UK
dc.identifier.eissn2397-8759
dc.identifier.urihttps://doi.org/10.1680/jsmic.22.00005
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20878
dc.language.isoenen_UK
dc.publisherInstitution of Civil Engineers - ICEen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectartificial intelligenceen_UK
dc.subjectcity-scale infrastructure operationsen_UK
dc.subjectCity-scale Simulations and Data Analyticsen_UK
dc.subjectUrban Infrastructure Developmenten_UK
dc.subjectcritical infrastructureen_UK
dc.subjectdata analytics for infrastructureen_UK
dc.titleInfrastructure and cities ontologiesen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2022-06-14

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Infrastructure_and_cities_ontologies-2022.pdf
Size:
242.32 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SWEE)