An ontology of soil properties and processes

Heshan Du, Vania Dimitrova, Derek Magee, Ross Stirling, Giulio Curioni, Helen Reeves, Barry Clarke, Anthony Cohn

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

Assessing the Underworld (ATU) is a large interdisciplinary UK research project, which addresses challenges in integrated inter-asset maintenance. As assets on the surface of the ground (e.g. roads or pavements) and those buried under it (e.g. pipes and cables) are supported by the ground, the properties and processes of soil affect the performance of these assets to a significant degree. In order to make integrated decisions, it is necessary to combine the knowledge and expertise in multiple areas, such as roads, soil, buried assets, sensing, etc. This requires an underpinning knowledge model, in the form of an ontology. Within this context, we present a new ontology for describing soil properties (e.g. soil strength) and processes (e.g. soil compaction), as well as how they affect each other. This ontology can be used to express how the ground affects and is affected by assets buried under the ground or on the ground surface. The ontology is written in OWL 2 and openly available from the University of Leeds data repository: http://doi.org/10.5518/54.

Original languageEnglish
Title of host publicationThe Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings
EditorsMarta Sabou, Freddy Lecue, Paul Groth, Elena Simperl, Markus Krotzsch, Freddy Lecue, Alasdair Gray, Fabian Flock, Yolanda Gil
PublisherSpringer Verlag
Pages30-37
Number of pages8
ISBN (Print)9783319465463
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9982 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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