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Implementation of FAIR Principles for Ontologies in the Disaster Domain: A Systematic Literature Review

by 1,*,†, 2,† and 1,†
Department of Geomatics and Land Management, Makerere University, Kampala, Uganda
Mediterranean Institute of Technology, South Mediterranean University, Tunis 1053, Tunisia
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Wolfgang Kainz and Dean Kyne
ISPRS Int. J. Geo-Inf. 2021, 10(5), 324;
Received: 28 February 2021 / Revised: 11 April 2021 / Accepted: 1 May 2021 / Published: 11 May 2021
(This article belongs to the Special Issue Disaster Management and Geospatial Information)
The success of disaster management efforts demands meaningful integration of data that is geographically dispersed and owned by stakeholders in various sectors. However, the difficulty in finding, accessing and reusing interoperable vocabularies to organise disaster management data creates a challenge for collaboration among stakeholders in the disaster management cycle on data integration tasks. Thus the need to implement FAIR principles that describe the desired features ontologies should possess to maximize sharing and reuse by humans and machines. In this review, we explore the extent to which sharing and reuse of disaster management knowledge in the domain is inline with FAIR recommendations. We achieve this through a systematic search and review of publications in the disaster management domain based on a predefined inclusion and exclusion criteria. We then extract social-technical features in selected studies and evaluate retrieved ontologies against the FAIR maturity model for semantic artefacts. Results reveal that low numbers of ontologies representing disaster management knowledge are resolvable via URIs. Moreover, 90.9% of URIs to the downloadable disaster management ontology artefacts do not conform to the principle of uniqueness and persistence. Also, only 1.4% of all retrieved ontologies are published in semantic repositories and 84.1% are not published at all because there are no repositories dedicated to archiving disaster domain knowledge. Therefore, there exists a very low level of Findability (1.8%) or Accessibility (5.8%), while Interoperability and Reusability are moderate (49.1% and 30.2 % respectively). The low adherence of disaster vocabularies to FAIR Principles poses a challenge to disaster data integration tasks because of the limited ability to reuse previous knowledge during disaster management phases. By using FAIR indicators to evaluate the maturity in sharing, discovery and integration of disaster management ontologies, we reveal potential research opportunities for managing reusable and evolving knowledge in the disaster community. View Full-Text
Keywords: FAIR; ontologies; disaster management; interoperability FAIR; ontologies; disaster management; interoperability
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MDPI and ACS Style

Mazimwe, A.; Hammouda, I.; Gidudu, A. Implementation of FAIR Principles for Ontologies in the Disaster Domain: A Systematic Literature Review. ISPRS Int. J. Geo-Inf. 2021, 10, 324.

AMA Style

Mazimwe A, Hammouda I, Gidudu A. Implementation of FAIR Principles for Ontologies in the Disaster Domain: A Systematic Literature Review. ISPRS International Journal of Geo-Information. 2021; 10(5):324.

Chicago/Turabian Style

Mazimwe, Allan, Imed Hammouda, and Anthony Gidudu. 2021. "Implementation of FAIR Principles for Ontologies in the Disaster Domain: A Systematic Literature Review" ISPRS International Journal of Geo-Information 10, no. 5: 324.

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