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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 spaceis huge, it fails to reach 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 re ne 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 rst goal is to show that using Payola, 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 publishing their data in a right way can bring them powerful visualizations at virtually no additional cost.
  • 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 spaceis huge, it fails to reach 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 re ne 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 rst goal is to show that using Payola, 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 publishing their data in a right way can bring them powerful visualizations at virtually no additional cost. (en)
Title
  • Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud
  • Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud (en)
skos:prefLabel
  • Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud
  • Application of the Linked Data Visualization Model on Real World Data from the Czech LOD Cloud (en)
skos:notation
  • RIV/00216208:11320/14:10276186!RIV15-TA0-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TA02010182)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 3855
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/14:10276186
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Data visualization; RDF; Linked Open Data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7B787F25E52E]
http://linked.open...v/mistoKonaniAkce
  • Seoul, Korea
http://linked.open...i/riv/mistoVydani
  • Seoul
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Workshop on Linked Data on the Web co-located with the 23rd International World Wide Web Conference (WWW 2014)
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Klímek, Jakub
  • Nečaský, Martin
  • Helmich, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1613-0073
number of pages
http://purl.org/ne...btex#hasPublisher
  • CEUR Workshop Proceedings
http://localhost/t...ganizacniJednotka
  • 11320
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