Quality metrics to measure the standards conformance of geospatial linked data
Yaman, Beyza, Thompson, Kevin and Brennan, RobORCID: 0000-0001-8236-362X
(2020)
Quality metrics to measure the standards conformance of geospatial linked data.
In: 19th International Semantic Web Conference (ISWC 2020), 1-6 Nov 2020, Athens, Greece (Online).
This paper describes three new Geospatial Linked Data
(GLD) quality metrics that help evaluate conformance to standards.
Standards conformance is a key quality criteria, for example for FAIR
data. The metrics were implemented in the open source Luzzu quality assessment framework and used to evaluate four public geospatial datasets
that showed a wide variation in standards conformance. This is the first
set of Linked Data quality metrics developed specifically for GLD
Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020).
.
European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 801522, Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology [grant number 13/RC/2106], Ordnance Survey Ireland
ID Code:
25391
Deposited On:
19 Jan 2021 11:53 by
Vidatum Academic
. Last Modified 19 Jan 2021 11:53