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Description
  • Payola is a framework for Linked Data analysis and visualization. The goal of the project is to provide end users with a tool enabling them to analyze Linked Data in a user-friendly way and without knowledge of SPARQL query language. This goal can be achieved by populating the framework with variety of domain-specific analysis and visualization plugins. The plugins can be shared and reused among the users as well as the created analyses. The analyses can be executed using the tool and the results can be visualized using a variety of visualization plugins. The visualizations can be further customized according to ontologies used in the resulting data. The framework is highly extensible and uses modern technologies such as HTML5 and Scala. In this paper we show two use cases, one general and one from the domain of public procurement.
  • Payola is a framework for Linked Data analysis and visualization. The goal of the project is to provide end users with a tool enabling them to analyze Linked Data in a user-friendly way and without knowledge of SPARQL query language. This goal can be achieved by populating the framework with variety of domain-specific analysis and visualization plugins. The plugins can be shared and reused among the users as well as the created analyses. The analyses can be executed using the tool and the results can be visualized using a variety of visualization plugins. The visualizations can be further customized according to ontologies used in the resulting data. The framework is highly extensible and uses modern technologies such as HTML5 and Scala. In this paper we show two use cases, one general and one from the domain of public procurement. (en)
Title
  • Payola: Collaborative Linked Data Analysis and Visualization Framework
  • Payola: Collaborative Linked Data Analysis and Visualization Framework (en)
skos:prefLabel
  • Payola: Collaborative Linked Data Analysis and Visualization Framework
  • Payola: Collaborative Linked Data Analysis and Visualization Framework (en)
skos:notation
  • RIV/00216208:11320/13:10192054!RIV14-TA0-11320___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E12042), 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
  • 95587
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/13:10192054
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • analysis; visualization; RDF; Linked Data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [79A23464A6AB]
http://linked.open...v/mistoKonaniAkce
  • Montpellier, France
http://linked.open...i/riv/mistoVydani
  • Germany
http://linked.open...i/riv/nazevZdroje
  • The Semantic Web: ESWC 2013 Satellite Events
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
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-41242-4_14
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-41241-7
http://localhost/t...ganizacniJednotka
  • 11320
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