Hybrid geo-spatial query methods on the semantic web with a spatially-enhanced index of DBpedia

Younis, Eman E. G., Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575, Tanasescu, Vlad and Abdelmoty, Alia ORCID: https://orcid.org/0000-0003-2031-4413 2012. Hybrid geo-spatial query methods on the semantic web with a spatially-enhanced index of DBpedia. Presented at: GIScience 2012: 7th International Conference on Geographic Information Science, Columbus, OH, USA, 18-21 September 2012. Published in: Xiao, N., Kwan, M.-P., Goodchild, M. F. and Shekhar, S. eds. Geographic Information Science: 7th International Conference, GIScience 2012, Columbus, OH, USA, September 18-21, 2012. Proceedings. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.7478 Berlin and Heidelberg: Springer, pp. 340-353. 10.1007/978-3-642-33024-7_25

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Abstract

Semantic Web resources such as DBpedia provide a rich source of structured knowledge about geographical features such as towns, rivers and historical buildings. Retrieval from these resources of all content that is relevant to a particular spatial query of, for example, containment or proximity is not always straightforward because there is considerable inconsistency in the way in which geographical features are referenced to location. In DBpedia some geographical feature instances have point coordinates, some have qualitative properties that provide explicit or implicit locational information via place names, and some have neither of these. Here we show how structured geo-spatial query, a form of question answering, on DBpedia can be performed with a hybrid strategy that exploits both quantitative and qualitative spatial properties in combination with a high quality reference geo-dataset that can help to support a full range of geo-spatial query operators.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer
ISSN:	0302-9743
Last Modified:	14 Jun 2023 06:21
URI:	https://orca.cardiff.ac.uk/id/eprint/67920

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