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Ontologies and representation spaces for sketch map interpretation

Ontologies and representation spaces for sketch map interpretation

Wang, Jia ORCID: 0000-0003-4379-9724 and Worboys, Michael (2017) Ontologies and representation spaces for sketch map interpretation. International Journal of Geographical Information Science, 31 (9). pp. 1697-1721. ISSN 1365-8816 (Print), 1365-8824 (Online) (doi:https://doi.org/10.1080/13658816.2017.1309043)

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Abstract

In this paper, we present a systematic approach to sketch map interpretation. The method decomposes the elements of a sketch map into a hierarchy of categories, from the material sketch map level to the non-material representational sketch map level, and then interprets the sketch map using the five formal representation spaces that we develop. These spaces (set, graph, metric and Euclidean) provide a tiered formal representation based on standard mathematical structures. We take the view that a sketch map bears information about the physical world and systematises this using extensions of existing formal ontologies. The motivation for this work is the partially automatic extraction and integration of information from sketch maps. We propose a set of ontologies and methods as a first step in the direction of a formalisation of partially automatic extraction and integration of sketch map content. We also see this work as a contribution to spatial cognition, where researchers externalise spatial knowledge using sketch mapping. The paper concludes by working through an example that demonstrates the sketch map interpretation at different levels using the underlying method.

Item Type: Article
Uncontrolled Keywords: Sketch map; Interpretation; Representation space; Ontology; Information artefact;
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Computing & Information Systems
Faculty of Architecture, Computing & Humanities > Greenwich GI Science Research Group
Last Modified: 17 May 2019 11:04
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 4
URI: http://gala.gre.ac.uk/id/eprint/16573

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