ATU-DSS: Knowledge-Driven Data Integration and Reasoning for Sustainable Subsurface Inter-Asset Management

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

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Authors/Creators:
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:
  • Published: 2 August 2018
  • Accepted: 12 April 2018
  • Published (online): 2 August 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Civil Engineering (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds)
Funding Information:
FunderGrant number
EPSRCEP/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: https://doi.org/10.1007/978-3-319-98192-5_2

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