A framework for storing and providing aggregated governmental linked open data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10127101" target="_blank" >RIV/00216208:11320/12:10127101 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-32701-8_23" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-32701-8_23</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A framework for storing and providing aggregated governmental linked open data
Original language description
The paradigm of publishing governmental data is shifting from data trapped in the private data silos to open data, or even linked open data, bringing the information consumers (citizens, companies) unrestricted access to the data and enabling the agile information aggregation, which has up to now not been possible. Such information aggregation comes with inherent problems, such as provision of poor quality, inaccurate, irrelevant or fraudulent information. As a part of the Open- Data.cz initiative and LOD2 project, we are developing a framework which will enable creation, maintenance, and usage of the data infrastructure formed by the linked open data. In this paper, we brie y describe our ongoing work on the framework { the processes of (1) cleaning,linking, assessing the quality of data being stored and the processes of (2) providing aggregated views on the governmental linked open data.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
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Volume of the periodical
2012
Issue of the periodical within the volume
7452
Country of publishing house
DE - GERMANY
Number of pages
7
Pages from-to
264-270
UT code for WoS article
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EID of the result in the Scopus database
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