Skip navigation

Ontologies and representation spaces for sketch map interpretation

Ontologies and representation spaces for sketch map interpretation

Wang, Jia ORCID logoORCID: https://orcid.org/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:10.1080/13658816.2017.1309043)

[thumbnail of Author Accepted Manuscript]
Preview
PDF (Author Accepted Manuscript)
16573 WANG_Sketch_Map_Interpretation_2017.pdf - Accepted Version

Download (1MB) | Preview

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 / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences > Greenwich GI Science Research Group
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:07
URI: http://gala.gre.ac.uk/id/eprint/16573

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics