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Linked data viewing as part of the spatial data platformof the future
- Source :
- Folmer, E, Beek, W & Rietveld, L 2018, ' Linked data viewing as part of the spatial data platformof the future ', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, vol. 42, no. 4/W8, pp. 49-52 . https://doi.org/10.5194/isprs-archives-XLII-4-W8-49-2018, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(4), 49-52. Copernicus, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 42(4/W8), 49-52. International Society for Photogrammetry and Remote Sensing, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W8, Pp 49-52 (2018)
- Publication Year :
- 2018
-
Abstract
- The Land Registry and Mapping Agency of the Netherlands (‘Kadaster’ in Dutch) is developing an online publication platform for sharing its geospatial data assets called KDP (`Kadaster Data Platform’ in Dutch). One of the main goals of this platform is to better share geospatial data with the wider, web-oriented world, including its developers, approaches, and standards. Linked Open Data (W3C), GeoSPARQL (OGC), and Open APIs (OpenAPI Specification) are the predominant standardized approaches for this purpose. As a result, the most important spatial datasets of the Netherlands – including several key registries – are now being published as Linked Open Data that can be accessed through a SPARQL endpoint and a collection of REST APIs. In addition to providing raw access to the data, Kadaster Data Platform also offers developers functionalities that allow them to gain a better understanding about the contents of its datasets. These functionalities include various ways for viewing Linked Data . This paper focuses on two of the main components the Kadaster Data Platform is using for this purpose: FacetCheck and Data Stories.
- Subjects :
- lcsh:Applied optics. Photonics
Geospatial analysis
010504 meteorology & atmospheric sciences
Computer science
0211 other engineering and technologies
02 engineering and technology
Data publishing
Faceted browsing
computer.software_genre
01 natural sciences
lcsh:Technology
World Wide Web
SDG 17 - Partnerships for the Goals
Agency (sociology)
SPARQL
Spatial analysis
021101 geological & geomatics engineering
0105 earth and related environmental sciences
lcsh:T
lcsh:TA1501-1820
computer.file_format
Linked data
GeoSPARQL
Geospatial data
lcsh:TA1-2040
Linked Data
Key (cryptography)
GIS viewing
lcsh:Engineering (General). Civil engineering (General)
computer
Subjects
Details
- Language :
- English
- ISSN :
- 21949034 and 16821750
- Database :
- OpenAIRE
- Journal :
- Folmer, E, Beek, W & Rietveld, L 2018, ' Linked data viewing as part of the spatial data platformof the future ', International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, vol. 42, no. 4/W8, pp. 49-52 . https://doi.org/10.5194/isprs-archives-XLII-4-W8-49-2018, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 42(4), 49-52. Copernicus, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives, 42(4/W8), 49-52. International Society for Photogrammetry and Remote Sensing, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W8, Pp 49-52 (2018)
- Accession number :
- edsair.doi.dedup.....a732176848406284ae80f8a11d295f32
- Full Text :
- https://doi.org/10.5194/isprs-archives-XLII-4-W8-49-2018