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Multiple Representa...
Multiple Representation for Geospatial Linked Data
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- Huang, Weiming (author)
- Lund University,Lunds universitet,Centrum för geografiska informationssystem (GIS-centrum),Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Centre for Geographical Information Systems (GIS Centre),Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Eidsson, Eidur (author)
- Lund University
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- Harrie, Lars (author)
- Lund University,Lunds universitet,Centrum för geografiska informationssystem (GIS-centrum),Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Centre for Geographical Information Systems (GIS Centre),Dept of Physical Geography and Ecosystem Science,Faculty of Science
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Mansourian, Ali (editor)
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Pilesjö, Petter (editor)
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Harrie, Lars (editor)
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van Lammeren, Ron (editor)
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(creator_code:org_t)
- 2018
- 2018
- English 6 s.
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In: 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 - short papers, posters and poster abstracts of the 21th AGILE Conference on Geographic Information Science. Lund University 12-15 June 2018, Lund, Sweden. - 9783319782089
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Environmental Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
Keyword
- Geovisualisation
- Linked Data
- Multiple representation
- INSPIRE RDF vocabularies
- Scale
Publication and Content Type
- kon (subject category)
- ref (subject category)
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