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Weiming Huang

Weiming Huang

Postdoctoral fellow

Weiming Huang

Geospatial data integration and visualisation using Linked Data

Author

  • Weiming Huang
  • Ali Mansourian
  • Lars Harrie

Summary, in English

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.

Department/s

  • Centre for Geographical Information Systems (GIS Centre)
  • eSSENCE: The e-Science Collaboration

Publishing year

2017-01-01

Language

English

Publication/Series

CEUR Workshop Proceedings

Volume

2088

Document type

Conference paper

Publisher

CEUR-WS

Topic

  • Computer and Information Science

Keywords

  • Geospatial data integration
  • Linked Data
  • Multi-scale
  • Symbolisation
  • Visualisation

Conference name

4th Association of Geographic Information Laboratories for Europe PhD School, AGILE PhD School 2017

Conference date

2017-10-30 - 2017-11-02

Status

Published

ISBN/ISSN/Other

  • ISSN: 1613-0073