Geospatial data integration and visualisation using Linked Data
(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:
https://lup.lub.lu.se/record/cb1ef0cd-8755-445b-b333-335bf733a487
- author
- Huang, Weiming
LU
; Mansourian, Ali
LU
and Harrie, Lars
LU
- organization
- publishing date
- 2017-01-01
- 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}}, }