A homogeneous approach to reasoning over global geographic data

Abdelmoty, Alia I. ORCID: https://orcid.org/0000-0003-2031-4413 and Satoti, Abdurauf 2024. A homogeneous approach to reasoning over global geographic data. Presented at: 44th SGAI International Conference on Artificial Intelligence, Cambridge, UK, 17-19 December 2024. Published in: Bramer, M. and Stahl, F. eds. Artificial Intelligence XLI. Lecture Notes in Computer Science (15446) Springer Cham, pp. 285-298. 10.1007/978-3-031-77915-2_20

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Abstract

Much of the information that we use is geospatially referenced. The need for homogeneous representation of global geographic themes is recognised as critical for sustainable development goals. The richness of local geographic data created and maintained by individual countries vary widely, creating what is known as a geospatial digital divide. Attempts to bridge this divide include the adoption of Discrete Global Grid Systems that provide an abstract and uniform method of partitioning space on Earth. This paper considers how the local methods of partitioning space adopted in individual countries and provided as open data can be integrated with this global grid system. The paper proposes a novel ontology design pattern for representing the integration of both grid systems, and evaluates it against existing methods. It is shown how a uniform treatment of spatial semantics is used to represent geographic places across grid systems. This proposal is a step towards the effective utilisation of these grid systems in building global geographic information systems.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Schools > Computer Science & Informatics
Publisher:	Springer Cham
ISBN:	9783031779145
Date of First Compliant Deposit:	18 February 2025
Date of Acceptance:	24 August 2024
Last Modified:	18 Feb 2025 14:28
URI:	https://orca.cardiff.ac.uk/id/eprint/176242

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