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ViDaX: an interactive semantic data visualisation and exploration tool

Published: 21 May 2012 Publication History

Abstract

We present the Visual Data Explorer (ViDaX), a tool for visualising and exploring large RDF data sets. ViDaX enables the extraction of information from RDF data sources and offers functionality for the analysis of various data characteristics as well as the exploration of the corresponding ontology graph structure. In addition to some basic data mining features, our interactive semantic data visualisation and exploration tool offers various types of visualisations based on the type of data. In contrast to existing semantic data visualisation solutions, ViDaX also offers non-expert users the possibility to explore semantic data based on powerful automatic visualisation and interaction techniques without the need for any low-level programming. To illustrate some of ViDaX's functionality, we present a use case based on semantic data retrieved from DBpedia, a semantic version of the well-known Wikipedia online encyclopedia, which forms a major component of the emerging linked data initiative.

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  1. ViDaX: an interactive semantic data visualisation and exploration tool

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    Published In

    cover image ACM Other conferences
    AVI '12: Proceedings of the International Working Conference on Advanced Visual Interfaces
    May 2012
    846 pages
    ISBN:9781450312875
    DOI:10.1145/2254556

    Sponsors

    • Consulta Umbria SRL
    • University of Salerno: University of Salerno

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 21 May 2012

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    Author Tags

    1. RDF
    2. data mining
    3. information visualisation
    4. visual data exploration

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    • University of Salerno

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    • (2021)KTabulator: Interactive Ad hoc Table Creation using Knowledge GraphsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445227(1-14)Online publication date: 6-May-2021
    • (2020)Interacting with Linked Data: A Survey from the SIGCHI PerspectiveExtended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3334480.3382909(1-12)Online publication date: 25-Apr-2020
    • (2016)VAiRoma: A Visual Analytics System for Making Sense of Places, Times, and Events in Roman HistoryIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2015.246797122:1(210-219)Online publication date: 31-Jan-2016
    • (2013)Method and Tool Support for Classifying Software Languages with WikipediaSoftware Language Engineering10.1007/978-3-319-02654-1_14(249-259)Online publication date: 2013

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