On the organisation of geographical knowledge: Data models for gazetteers and historical GIS

Humphrey Southall; Alexander Von Lünen; Paula Aucott

doi:10.1109/ESCIW.2009.5407970

On the organisation of geographical knowledge: Data models for gazetteers and historical GIS

Humphrey Southall, Alexander Von Lünen, Paula Aucott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Historical documents contain many geographical names, and text describing geographical relationships, but few coordinates or accurate maps. Historical GISs consequently contain much conjecture and anachronistic data. The paper outlines an alternative approach based on a formal representation of the textual information.

Original language	English
Title of host publication	Proceedings of the 5th IEEE International Conference on E-Science Workshops, (Oxford, 9-11 December 2009)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	162-166
Number of pages	5
ISBN (Electronic)	9781424459476
ISBN (Print)	9781424459469
DOIs	https://doi.org/10.1109/ESCIW.2009.5407970
Publication status	Published - 8 Feb 2010
Externally published	Yes
Event	5th IEEE International Conference on eScience Workshops - Oxford, United Kingdom Duration: 9 Dec 2009 → 11 Dec 2009 Conference number: 5

Conference

Conference	5th IEEE International Conference on eScience Workshops
Abbreviated title	eScience 2009
Country/Territory	United Kingdom
City	Oxford
Period	9/12/09 → 11/12/09

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10.1109/ESCIW.2009.5407970Licence: Unspecified

Cite this

Southall, H., Von Lünen, A., & Aucott, P. (2010). On the organisation of geographical knowledge: Data models for gazetteers and historical GIS. In Proceedings of the 5th IEEE International Conference on E-Science Workshops, (Oxford, 9-11 December 2009) (pp. 162-166). [5407970] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ESCIW.2009.5407970

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abstract = "Historical documents contain many geographical names, and text describing geographical relationships, but few coordinates or accurate maps. Historical GISs consequently contain much conjecture and anachronistic data. The paper outlines an alternative approach based on a formal representation of the textual information.",

author = "Humphrey Southall and {Von L{\"u}nen}, Alexander and Paula Aucott",

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Southall, H, Von Lünen, A & Aucott, P 2010, On the organisation of geographical knowledge: Data models for gazetteers and historical GIS. in Proceedings of the 5th IEEE International Conference on E-Science Workshops, (Oxford, 9-11 December 2009)., 5407970, Institute of Electrical and Electronics Engineers Inc., pp. 162-166, 5th IEEE International Conference on eScience Workshops, Oxford, United Kingdom, 9/12/09. https://doi.org/10.1109/ESCIW.2009.5407970

On the organisation of geographical knowledge : Data models for gazetteers and historical GIS. / Southall, Humphrey; Von Lünen, Alexander; Aucott, Paula.

Proceedings of the 5th IEEE International Conference on E-Science Workshops, (Oxford, 9-11 December 2009). Institute of Electrical and Electronics Engineers Inc., 2010. p. 162-166 5407970.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2010/2/8

Y1 - 2010/2/8

N2 - Historical documents contain many geographical names, and text describing geographical relationships, but few coordinates or accurate maps. Historical GISs consequently contain much conjecture and anachronistic data. The paper outlines an alternative approach based on a formal representation of the textual information.

AB - Historical documents contain many geographical names, and text describing geographical relationships, but few coordinates or accurate maps. Historical GISs consequently contain much conjecture and anachronistic data. The paper outlines an alternative approach based on a formal representation of the textual information.

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PB - Institute of Electrical and Electronics Engineers Inc.

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On the organisation of geographical knowledge: Data models for gazetteers and historical GIS

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