Geospatial data integration and visualisation using Linked Data

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.

• Författare: Weiming Huang; Ali Mansourian; Lars Harrie
• Avdelning/ar: Centrum för geografiska informationssystem (GIS-centrum); eSSENCE: The e-Science Collaboration
• Publiceringsår: 2017-01-01
• Språk: Engelska
• Publikation/Tidskrift/Serie: CEUR Workshop Proceedings
• Volym: 2088
• Länkar: http://ceur-ws.org/Vol-2088/paper6.pdf
• Dokumenttyp: Konferensbidrag
• Förlag: CEUR-WS
• Ämne: Computer and Information Science
• Nyckelord: 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
• Aktiv: Published
• ISBN/ISSN/Övrigt: ISSN: 1613-0073