Publication and Usage of Official Czech Pension Statistics Linked Open Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10363686" target="_blank" >RIV/00216208:11320/18:10363686 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31140/18:00051926

Výsledek na webu

<a href="https://doi.org/10.1016/j.websem.2017.09.002" target="_blank" >https://doi.org/10.1016/j.websem.2017.09.002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.websem.2017.09.002" target="_blank" >10.1016/j.websem.2017.09.002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Publication and Usage of Official Czech Pension Statistics Linked Open Data

Popis výsledku v původním jazyce

Linked Open Data (LOD) principles are known for a decade now and there are thousands of LOD datasets of variable quality and importance. They often come from academic research projects, which show how LOD can be published, how it can be useful, etc. However, these projects last only for a few years and when they end, the datasets often cease to be maintained. What is needed is to convince the owner of the original data, e.g. an organization in public administration, to keep on publishing LOD on their own even when the project ends. Therefore, it is noteworthy and admirable, when this happens. In this paper we describe how the Czech Social Security Administration (CSSA) publishes official pension statistics as LOD as part of their day-to-day operation, which was jump-started by an applied research project. The data is modeled using the Simple Knowledge Organization System (SKOS) vocabulary and the RDF Data Cube Vocabulary (DCV). It is published as RDF data dumps, as a SPARQL endpoint and using IRI dereferencing for semantic web technologies power users. For journalists and other users without knowledge of these technologies, the data is also published as CSV files and visualizations generated from the LOD. We show how the data is reused in applications and how it contributes to statistical indicators in combination with other LOD.

Název v anglickém jazyce

Publication and Usage of Official Czech Pension Statistics Linked Open Data

Popis výsledku anglicky

Linked Open Data (LOD) principles are known for a decade now and there are thousands of LOD datasets of variable quality and importance. They often come from academic research projects, which show how LOD can be published, how it can be useful, etc. However, these projects last only for a few years and when they end, the datasets often cease to be maintained. What is needed is to convince the owner of the original data, e.g. an organization in public administration, to keep on publishing LOD on their own even when the project ends. Therefore, it is noteworthy and admirable, when this happens. In this paper we describe how the Czech Social Security Administration (CSSA) publishes official pension statistics as LOD as part of their day-to-day operation, which was jump-started by an applied research project. The data is modeled using the Simple Knowledge Organization System (SKOS) vocabulary and the RDF Data Cube Vocabulary (DCV). It is published as RDF data dumps, as a SPARQL endpoint and using IRI dereferencing for semantic web technologies power users. For journalists and other users without knowledge of these technologies, the data is also published as CSV files and visualizations generated from the LOD. We show how the data is reused in applications and how it contributes to statistical indicators in combination with other LOD.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/GA16-09713S" target="_blank" >GA16-09713S: Efektivní explorace prostoru propojených dat</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Web Semantics

ISSN

1570-8268

e-ISSN

—

Svazek periodika

2017

Číslo periodika v rámci svazku

48

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

000425886000001

EID výsledku v databázi Scopus

2-s2.0-85032230194