Production of linked government datasets using enhanced LIRE architecture
Computer Science and Information Systems, Tome 17 (2020) no. 2
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This paper describes the enhanced LIRE (LInked RElations) architecture for creating relations between datasets available on open government portals. The architecture is improved to be applicable on different open government data platforms using minimal configuration at the Data processing layer. We evaluated the applicability of enhanced LIRE, its advantages and disadvantages, which resulted in necessary recommendations for the publication of dataset’s metadata to obtain better associations between datasets. Moreover, we introduced a LINDAT indicator that reflects the percentage of linked data in the total possible number of linked data on open government data portals.
Keywords:
open government data, linked data, datasets, metadata, dataset relations
@article{CSIS_2020_17_2_a12,
author = {Nata\v{s}a Veljkovi\'c and Petar Mili\'c and Leonid Stoimenov and Kristijan Kuk},
title = {Production of linked government datasets using enhanced {LIRE} architecture},
journal = {Computer Science and Information Systems},
year = {2020},
volume = {17},
number = {2},
url = {http://geodesic.mathdoc.fr/item/CSIS_2020_17_2_a12/}
}
TY - JOUR AU - Nataša Veljković AU - Petar Milić AU - Leonid Stoimenov AU - Kristijan Kuk TI - Production of linked government datasets using enhanced LIRE architecture JO - Computer Science and Information Systems PY - 2020 VL - 17 IS - 2 UR - http://geodesic.mathdoc.fr/item/CSIS_2020_17_2_a12/ ID - CSIS_2020_17_2_a12 ER -
%0 Journal Article %A Nataša Veljković %A Petar Milić %A Leonid Stoimenov %A Kristijan Kuk %T Production of linked government datasets using enhanced LIRE architecture %J Computer Science and Information Systems %D 2020 %V 17 %N 2 %U http://geodesic.mathdoc.fr/item/CSIS_2020_17_2_a12/ %F CSIS_2020_17_2_a12
Nataša Veljković; Petar Milić; Leonid Stoimenov; Kristijan Kuk. Production of linked government datasets using enhanced LIRE architecture. Computer Science and Information Systems, Tome 17 (2020) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2020_17_2_a12/