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Geospatial data integration and visualisation using Linked Data

Huang, Weiming LU ; Mansourian, Ali LU and Harrie, Lars LU orcid (2017) 4th Association of Geographic Information Laboratories for Europe PhD School, AGILE PhD School 2017 In CEUR Workshop Proceedings 2088.
Abstract

Geospatial data are increasingly available nowadays, and this leads to more analyses and visualisation of geospatial data from several sources. To enable this, we need homogenous data as well as proper integration methods. Geospatial data integration has been a longstanding research topic for decades, and this paper discusses the utilisation of Linked Data technology stack to alleviate the geospatial data integration, particularly in the multi-scale context. Furthermore, this paper also discusses the possibilities of incorporating symbolisation information in Linked Data along with the integrated linked geospatial data for visualisation.

Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Geospatial data integration, Linked Data, Multi-scale, Symbolisation, Visualisation
host publication
Proceedings of the 4th AGILE PhD School
series title
CEUR Workshop Proceedings
volume
2088
pages
5 pages
publisher
CEUR-WS
conference name
4th Association of Geographic Information Laboratories for Europe PhD School, AGILE PhD School 2017
conference dates
2017-10-30 - 2017-11-02
external identifiers
  • scopus:85046006928
ISSN
1613-0073
language
English
LU publication?
yes
id
cb1ef0cd-8755-445b-b333-335bf733a487
alternative location
http://ceur-ws.org/Vol-2088/paper6.pdf
date added to LUP
2018-05-09 12:00:01
date last changed
2022-03-09 18:52:18
@inproceedings{cb1ef0cd-8755-445b-b333-335bf733a487,
  abstract     = {{<p>Geospatial data are increasingly available nowadays, and this leads to more analyses and visualisation of geospatial data from several sources. To enable this, we need homogenous data as well as proper integration methods. Geospatial data integration has been a longstanding research topic for decades, and this paper discusses the utilisation of Linked Data technology stack to alleviate the geospatial data integration, particularly in the multi-scale context. Furthermore, this paper also discusses the possibilities of incorporating symbolisation information in Linked Data along with the integrated linked geospatial data for visualisation.</p>}},
  author       = {{Huang, Weiming and Mansourian, Ali and Harrie, Lars}},
  booktitle    = {{Proceedings of the 4th AGILE PhD School}},
  issn         = {{1613-0073}},
  keywords     = {{Geospatial data integration; Linked Data; Multi-scale; Symbolisation; Visualisation}},
  language     = {{eng}},
  month        = {{01}},
  publisher    = {{CEUR-WS}},
  series       = {{CEUR Workshop Proceedings}},
  title        = {{Geospatial data integration and visualisation using Linked Data}},
  url          = {{http://ceur-ws.org/Vol-2088/paper6.pdf}},
  volume       = {{2088}},
  year         = {{2017}},
}