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LarsH

Lars Harrie

Professor

LarsH

Multiple Representation for Geospatial Linked Data

Författare

  • Weiming Huang
  • Eidur Eidsson
  • Lars Harrie

Redaktör

  • Ali Mansourian
  • Petter Pilesjö
  • Lars Harrie
  • Ron van Lammeren

Summary, in English

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.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap
  • Centrum för geografiska informationssystem (GIS-centrum)
  • eSSENCE: The e-Science Collaboration

Publiceringsår

2018

Språk

Engelska

Publikation/Tidskrift/Serie

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

Dokumenttyp

Konferensbidrag

Förlag

Association of Geographic Information Laboratories for Europe

Ämne

  • Computer Science
  • Environmental Sciences
  • Other Engineering and Technologies not elsewhere specified

Nyckelord

  • Geovisualisation
  • Linked Data
  • Multiple representation
  • INSPIRE RDF vocabularies
  • Scale

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-3-319-78208-9