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Cited by 270

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Ontological considerations in GIScience

Agarwal, P.·2005·International Journal of Geographical Information Science

Abstract

Ontology is a significant research theme in GIScience. While some researchers believe that the progress in GIScience is being directed through an engagement with the concept of ontology, some dismiss it as irrelevant. This paper is aimed at (i) exploring the theoretical and practical roles of ontologies; (ii) making the definitions and terminology explicit; (iii) assessing the applicability of ontology to problems in the geographical domain; and (iv) assessing whether a unified approach to ontology exists in GIScience. The results will be helpful for GIScientists in (i) understanding the validity of employing ontology within their own work, (ii) assessing what operational framework of terms and methods to use for developing their own ontology, and (iii) to assess what existing ontological models are available and applicable within their domain or application. A comprehensive and critical review will also help in identifying the signficant issues and directing future research agenda in GIScience.

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Crossref · 10.1080/13658810500032321

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Metadata

Authors
Agarwal, P.
Venue
International Journal of Geographical Information Science
Published
2005-05
Volume
19
Issue
5
Pages
501-536
ISSN
  • 0269-3798 (ISSN-L)
  • 1365-8816
  • 1362-3087
OpenAlex
W2012172914
Cited by
270
References
77
FWCI
176.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ontological considerations in GIScience. https://app.cochat.ai/papers/10.1080/13658810500032321
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Agarwal, P. (2005). Ontological considerations in GIScience. International Journal of Geographical Information Science. https://doi.org/10.1080/13658810500032321

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.