Deriving place graphs from spatial databases

Hamzei, E, Chen, H, Hua, H, Vasardani, M, Tomko, M and Winter, S 2018, 'Deriving place graphs from spatial databases', in Stefan Peters, Kourosh Khoshelham (ed.) Proceedings of the 5th Annual Conference of Research@Locate, Adelaide; Australia, 9-11 April 2018, pp. 25-32.

Document type: Conference Paper
Collection: Conference Papers

Title Deriving place graphs from spatial databases
Author(s) Hamzei, E
Chen, H
Hua, H
Vasardani, M
Tomko, M
Winter, S
Year 2018
Conference name 5th Annual Academic Research@Locate (2018)
Conference location Adelaide; Australia
Conference dates 9-11 April 2018
Proceedings title Proceedings of the 5th Annual Conference of Research@Locate
Editor(s) Stefan Peters, Kourosh Khoshelham
Publisher CEUR-WS
Place of publication Adelaide; Australia
Start page 25
End page 32
Total pages 8
Abstract A place graph is an abstract representation of human place knowledge, which models spatial references. A place graph can be used for various tasks that rely on reasoning and querying of the stored knowledge. In related work, place graphs were constructed from parsing natural language place descriptions using language processing techniques. In this research, we present an innovative approach to derive place graphs from information stored in spatial databases, with a demonstration using OpenStreetMap data. The approach provides a complementary way to generating place graphs from natural language descriptions.
Subjects Geospatial Information Systems
Copyright notice © Open Data Commons Attribution License (ODC-BY 1.0). The ODC-BY 1.0 license is courtesy of the Open Knowledge Foundation.
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