Wei, L, Du, HS orcid.org/0000-0002-6300-3503, Mahesar, Q et al. (7 more authors) (2018) ATU-DSS: Knowledge-Driven Data Integration and Reasoning for Sustainable Subsurface Inter-Asset Management. In: Gangemi, A, Gentile, AL, Nuzzolese, AG, Rudolph, S, Maleshkova, M, Paulheim, H, Pan, JZ and Alam, M, (eds.) Lecture Notes in Computer Science. The Semantic Web: ESWC 2018 Satellite Events, 03-07 Jun 2018, Heraklion, Crete, Greece. Springer , pp. 8-13. ISBN 978-3-319-98191-8
Abstract
Urban infrastructure assets perform critical functions to the health and well-being of the society. In this paper, we present a prototype decision support system for sustainable subsurface inter-asset management. To the best of the authors’ knowledge, this work is the first on assessing the underground space by considering the inter-asset dependencies using semantic technologies. Based on a family of interlinked city infrastructure asset ontologies describing the ground, roads and buried utilities (e.g. water pipes), various datasets are integrated and logical rules are developed to describe the intra-asset and inter-asset relationships. An inference engine is employed to exploit the knowledge and data for assessing the potential impact of an event. This system can be beneficial to a wide range of stakeholders (e.g. utility incident managers) for quickly gathering of the localised contextual data and identifying potential consequences from what may appear as an insignificant trigger. A video demonstrating the prototype is available at: http://bit.ly/2mdyIY4.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | (c) 2018, Springer Nature Switzerland AG. This is an author produced version of a paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final authenticated version is available online at https://doi.org/10.1007/978-3-319-98192-5_2 |
Keywords: | Semantic technologies; ontologies; decision support system; subsurface infrastructure; sustainable streetworks |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K021699/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 26 Apr 2018 10:09 |
Last Modified: | 10 Aug 2018 02:23 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-319-98192-5_2 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:130124 |