Lars Harrie
Professor
Multiple Representation for Geospatial Linked Data
Author
Editor
- Ali Mansourian
- Petter Pilesjö
- Lars Harrie
- Ron van Lammeren
Summary, in English
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.
Department/s
- Dept of Physical Geography and Ecosystem Science
- Centre for Geographical Information Systems (GIS Centre)
- eSSENCE: The e-Science Collaboration
Publishing year
2018
Language
English
Publication/Series
Geospatial Technologies for All : short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden
Links
Document type
Conference paper
Publisher
Association of Geographic Information Laboratories for Europe
Topic
- Computer Science
- Environmental Sciences
- Other Engineering and Technologies not elsewhere specified
Keywords
- Geovisualisation
- Linked Data
- Multiple representation
- INSPIRE RDF vocabularies
- Scale
Status
Published
ISBN/ISSN/Other
- ISBN: 978-3-319-78208-9