Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11320/14:10276186

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/TA02010182" target="_blank" >TA02010182: Inteligentní knihovna - INTLIB</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

10

Strana od-do

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Název nakladatele

CEUR Workshop Proceedings

Místo vydání

Aachen

Místo konání akce

Soul

Datum konání akce

8. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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