Geographic ontology for major disasters: methodology and implementation

Bouyerbou, Hafidha, Bechkoum, Kamal and Lepage, Richard (2019) Geographic ontology for major disasters: methodology and implementation. International Journal of Disaster Risk Reduction, 34. pp. 232-242. ISSN 2212-4209

[img] Text (Peer reviewed version)
6311 Bechkoum (2018) Geographic ontology for major disasters.pdf - Accepted Version
Restricted to Repository staff only until 28 February 2020. (Publisher Embargo).
Available under License Creative Commons Attribution Non-commercial No Derivatives 3.0.

Download (1MB)

Abstract

During a catastrophic event, the International Charter1 "Space and Major Disasters" is regularly activated and provides the rescue teams damage maps prepared by a photo-interpreter team basing on pre and post-disaster satellite images. A satellite image manual processing must be accomplished in most cases to build these maps, a complex and demanding process. Given the importance of time in such critical situations, automatic or semiautomatic tools are highly recommended. Despite the quick treatment presented by automatic processing, it usually presents a semantic gap issue. Our aim is to express expert knowledge using a well-defined knowledge representation method: ontologies and make semantics explicit in geographic and remote sensing applications by taking the ontology advantages in knowledge representation, expression, and knowledge discovery. This research focuses on the design and implementation of a comprehensive geographic ontology in the case of major disasters, that we named GEO-MD, and illustrates its application in the case of Haiti 2010 earthquake. Results show how the ontology integration reduces the semantic gap and improves the automatic classification accuracy.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Information retrieval; Major disasters; Ontology; Ontology web language (OWL); Reasoning; Semantics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Business and Technology > Technical & Applied Computing
Research Priority Areas: Applied Business & Technology
Depositing User: Susan Turner
Date Deposited: 14 Dec 2018 10:15
Last Modified: 07 May 2019 14:01
URI: http://eprints.glos.ac.uk/id/eprint/6311

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter Google+ YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.