Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F14%3A00226105" target="_blank" >RIV/68407700:21240/14:00226105 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/14:10276186
Result on the web
<a href="http://events.linkeddata.org/ldow2014/papers/ldow2014_paper_13.pdf" target="_blank" >http://events.linkeddata.org/ldow2014/papers/ldow2014_paper_13.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud
Original language description
In the recent years the Linked Open Data phenomenon has gained a substantial traction. This has lead to a vast amount of data being available on the Web in what is known as the LOD cloud. While the potential of this linked data space is huge, it fails toreach the non-expert users so far. At the same time there is even larger amount of data that is so far not open yet, often because its owners are not convinced of its usefulness. In this paper we refine our Linked Data Visualization Model (LDVM) and show its application via its implementation Payola. On a real-world scenario built on real-world Linked Open Data created from Czech open data sources we show how end-user friendly visualizations can be easily achieved. Our first goal is to show that usingPayola, existing Linked Open Data can be easily mashed up and visualized using an extensible library of analyzers, transformers and visualizers. Our second goal is to give potential publishers of (Linked) Open Data a proof that simply by
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/TA02010182" target="_blank" >TA02010182: Intelligent Library - INTLIB</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop on Linked Data on the Web, LDOW 2014 - Co-located with the 23rd International World Wide Web Conference, WWW 2014
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
10
Pages from-to
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Publisher name
CEUR Workshop Proceedings
Place of publication
Aachen
Event location
Soul
Event date
Apr 8, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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