Abstract
Current techniques for visualising geospatial Linked Data are limited in terms of multiple representation, which has been studied for decades by cartographers and
considered as a prerequisite for deriving appropriate geovisualisation applications. In order to alleviate this issue, this paper presents a work in progress, in which the multiple representation geospatial data are released as Linked Data, and linked to the Linked Data gazetteer GeoNames. In the study, we use extended INSPIRE draft RDF vocabularies to explicitly link multiple representations and their visualisation scales. The results show that the released multiple representation geospatial Linked Data can effectively enrich the geometric information for the test data in GeoNames, and provide better visualisation performance.
considered as a prerequisite for deriving appropriate geovisualisation applications. In order to alleviate this issue, this paper presents a work in progress, in which the multiple representation geospatial data are released as Linked Data, and linked to the Linked Data gazetteer GeoNames. In the study, we use extended INSPIRE draft RDF vocabularies to explicitly link multiple representations and their visualisation scales. The results show that the released multiple representation geospatial Linked Data can effectively enrich the geometric information for the test data in GeoNames, and provide better visualisation performance.
| Original language | English |
|---|---|
| Title of host publication | Geospatial Technologies for All |
| Subtitle of host publication | short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden |
| Editors | Ali Mansourian, Petter Pilesjö, Lars Harrie, Ron van Lammeren |
| Publisher | Association of Geographic Information Laboratories for Europe |
| Number of pages | 6 |
| ISBN (Electronic) | 978-3-319-78208-9 |
| Publication status | Published - 2018 |
Subject classification (UKÄ)
- Computer Science
- Environmental Sciences
- Other Engineering and Technologies not elsewhere specified
Free keywords
- Geovisualisation
- Linked Data
- Multiple representation
- INSPIRE RDF vocabularies
- Scale