Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 187-190 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume | 42 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 11 Jul 2018 |
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LINKDALE: A lightweight learning environment for (geospatial) linked data. / Ronzhin, S. (Corresponding Author); Bosch, G.; Folmer, E.; Lemmens, R.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 42, No. 4, 11.07.2018, p. 187-190.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - LINKDALE: A lightweight learning environment for (geospatial) linked data
AU - Ronzhin, S.
AU - Bosch, G.
AU - Folmer, E.
AU - Lemmens, R.
PY - 2018/7/11
Y1 - 2018/7/11
N2 - 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.
AB - 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.
U2 - 10.5194/isprs-archives-XLII-4-W8-187-2018
DO - 10.5194/isprs-archives-XLII-4-W8-187-2018
M3 - Article
VL - 42
SP - 187
EP - 190
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
SN - 1682-1750
IS - 4
ER -