LinkedPipes Visualization: Simple Useful Linked Data Visualization Use Cases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10326680" target="_blank" >RIV/00216208:11320/16:10326680 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-47602-5_23" target="_blank" >http://dx.doi.org/10.1007/978-3-319-47602-5_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-47602-5_23" target="_blank" >10.1007/978-3-319-47602-5_23</a>
Alternative languages
Result language
angličtina
Original language name
LinkedPipes Visualization: Simple Useful Linked Data Visualization Use Cases
Original language description
There is a need for being able to effectively demonstrate the benefits of publishing Linked Data. There are already many datasets and they are no longer limited to research based data sources. Governments and even companies start publishing Linked Data as well. However, a tool, which would be able to immediately demonstrate the Linked Data benefits to those, who still need convincing, was missing. In this paper, we demonstrate LinkedPipes Visualization, a tool based on our previous work, the Linked Data Visualization Model. Using this tool, we show four simple use cases that immediately demonstrate the Linked Data benefits. We demonstrate the value of providing dereferenceable IRIs and using vocabularies standardized as W3C Recommendations on use cases based on SKOS and the RDF Data Cube Vocabulary, providing data visualizations on one click. LinkedPipes Visualization can be extended to support other vocabularies through additional visualization components.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA16-09713S" target="_blank" >GA16-09713S: Efficient Exploration of Linked Data Cloud</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science
ISBN
978-3-319-47601-8
ISSN
0302-9743
e-ISSN
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Number of pages
6
Pages from-to
112-117
Publisher name
Springer International Publishing AG
Place of publication
Neuveden
Event location
Heraklion, Greece
Event date
May 29, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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