Volume XLII-4/W8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W8, 187–190, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W8-187-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W8, 187–190, 2018
https://doi.org/10.5194/isprs-archives-XLII-4-W8-187-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  11 Jul 2018

11 Jul 2018

LINKDALE: A LIGHTWEIGHT LEARNING ENVIRONMENT FOR (GEOSPATIAL) LINKED DATA

S. Ronzhin1, G. Bosch2, E. Folmer3, and R. Lemmens1 S. Ronzhin et al.
  • 1University of Twente, Faculty of Geo-Information and Earth Observation (ITC), PO BOX 217 7500 AE Enschede, the Netherlands
  • 2Trypli, the Netherlands
  • 3University of Twente, Faculty of Behavioural Management and Social Sciences (BMS), PO 217 7500 AE Enschede, the Netherlands

Keywords: Linked Data, education, learning environment, reactjs, visual linking

Abstract. Modern software tools for managing Linked Data are often designed for skilled users. Therefore, they cannot be used for education purposes because they require substantial a priori knowledge about the Resource Description Framework and the SPARQL query language. LinkDaLe is a single page application designed to teach students the concept of Linked Data and work with linked data at the same time. In the paper we showcase the interface and functionality of LinkDaLe by triplifying data on Geo4All member organizations. The application was built and evaluated within The Business Process Integration Lab, a master programme course in 2016 and 2017 years. Positive feedback from both students and teachers proved the relevance of the proposed design consideration. LinkDaLe showed usability working with domain specific data e.g. geospatial and logistic data.