LinkedVis an Information Visualisation Toolkit for RDF Data

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Author(s): Antonio Garrote (Universidad de Salamanca, Spain)and María N. Moreno García (Universidad de Salamanca, Spain)
Copyright: 2014
Pages: 17
Source title: Computational Linguistics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6042-7.ch039

Keywords: Computational Linguistics / Computer Science & IT / Digital Communications / Information Science Reference

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Abstract

LinkedVis implements a JavaScript and SVG data visualisation toolkit that can be used to generate a wide range of interactive information visualisations from RDF graphs using a grammar of graphics style syntax extended with operations for structural transformation of the RDF data graph. Additionally, LinkedVis visualisations make it possible to embed meta-data about the visualisation and the way different graphic components from the visualisation are related to the original RDF data. Insertion of meta-data transforms the visualisation into a self-describing piece of information that can be processed by an automatic agent to perform different tasks, like extracting data associated to a visual component, following the associated linked URIs or translate the visualisation to an entirely different underlying graphics system other than SVG.

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LinkedVis an Information Visualisation Toolkit for RDF Data

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