Ordnance Survey, the national mapping agency of Great Britain, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This article discusses the production of an example dataset for the administrative geography of Great Britain, demonstrating the advantages of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how these data can be linked to other datasets on the web of linked data and some of the challenges that this raises.
%0 Journal Article
%1 goodwin2008geographical
%A Goodwin, John
%A Dolbear, Catherine
%A Hart, Glen
%D 2008
%I Blackwell Publishing Ltd
%J Transactions in GIS
%K data geo geography gis linked lod map open rdf semantic uk web
%P 19--30
%R 10.1111/j.1467-9671.2008.01133.x
%T Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web
%U http://dx.doi.org/10.1111/j.1467-9671.2008.01133.x
%V 12
%X Ordnance Survey, the national mapping agency of Great Britain, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This article discusses the production of an example dataset for the administrative geography of Great Britain, demonstrating the advantages of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how these data can be linked to other datasets on the web of linked data and some of the challenges that this raises.
@article{goodwin2008geographical,
abstract = {Ordnance Survey, the national mapping agency of Great Britain, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This article discusses the production of an example dataset for the administrative geography of Great Britain, demonstrating the advantages of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how these data can be linked to other datasets on the web of linked data and some of the challenges that this raises.},
added-at = {2012-10-02T17:29:34.000+0200},
author = {Goodwin, John and Dolbear, Catherine and Hart, Glen},
biburl = {https://www.bibsonomy.org/bibtex/208412bb4afca1e86d0cca0a8a083f2a2/jaeschke},
doi = {10.1111/j.1467-9671.2008.01133.x},
interhash = {ea248d549690eceb8e7aa06ccb24e226},
intrahash = {08412bb4afca1e86d0cca0a8a083f2a2},
issn = {1467-9671},
journal = {Transactions in GIS},
keywords = {data geo geography gis linked lod map open rdf semantic uk web},
pages = {19--30},
publisher = {Blackwell Publishing Ltd},
timestamp = {2014-07-28T15:57:31.000+0200},
title = {Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web},
url = {http://dx.doi.org/10.1111/j.1467-9671.2008.01133.x},
volume = 12,
year = 2008
}