From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping

Gould, N ORCID: https://orcid.org/0000-0001-7199-2201 and Mackaness, W (2016) From taxonomies to ontologies: formalizing generalization knowledge for on-demand mapping. Cartography and Geographic Information Science, 43 (3). pp. 208-222. ISSN 1050-9844

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Official URL: https://doi.org/10.1080/15230406.2015.1072737

Abstract

Automation of the cartographic design process is central to the delivery of bespoke maps via the web. In this paper, ontological modeling is used to explicitly represent and articulate the knowledge used in this decision-making process. A use case focuses on the visualization of road traffic accident data as a way of illustrating how ontologies provide a framework by which salient and contextual information can be integrated in a meaningful manner. Such systems are in anticipation of web-based services in which the user knows what they need, but do not have the cartographic ability to get what they want.

Item Type:	Article
Peer-reviewed:	Yes
Date Deposited:	23 Nov 2015 16:04
Publisher:	Taylor & Francis
Additional Information:	This is an Author Final Copy of a paper accepted for publication in Cartography and Geographic Information Science, published by and copyright Taylor & Francis.
Divisions:
Subject terms:	0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering, Geological & Geomatics Engineering
URI:	https://e-space.mmu.ac.uk/id/eprint/582556
DOI:	https://doi.org/10.1080/15230406.2015.1072737
ISSN	1050-9844
e-ISSN	1545-0465

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