LinkedDataOps: linked data operations based on quality process cycle
Yaman, Beyza and Brennan, RobORCID: 0000-0001-8236-362X
(2020)
LinkedDataOps: linked data operations based on quality process cycle.
In: 19th International Semantic Web Conference (ISWC 2020), 1-6 Nov 2020, Bozen-Bolzano, Italy (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 EKAW 2020 Posters and Demonstrations Session co-located with 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020).
2751.
CEUR-WS.
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:
25390
Deposited On:
18 Jan 2021 16:44 by
Vidatum Academic
. Last Modified 19 Jan 2021 12:02