Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint

Research output: Contribution to journalConference articleScientificpeer-review

Researchers

Research units

  • Keio University
  • University of Helsinki

Abstract

This paper discusses practical experiences on creating data-analytic visualizations in a browser, on top of a SPARQL endpoint based on the results of faceted search. Four use cases related to Digital Humanities research in proposog-raphy are discussed where the SPARQL Faceter tool was used and extended in different ways. The Faceter tool allows the user to select a group of people with shared properties, e.g., people with the same place of birth, gender, profession, or employer. The filtered data can then be visualized, e.g., as column charts, with business graphics, sankey diagrams, or on a map. The use cases examine the potential of visualization as well as automated knowledge discovery in Digital Humanities research.

Details

Original languageEnglish
Pages (from-to)53-63
JournalCEUR Workshop Proceedings
Volume2187
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
EventVisualization and Interaction for Ontologies and Linked Data - Monterey, United States
Duration: 8 Oct 20188 Oct 2018
Conference number: 4

    Research areas

  • Biography, Knowledge Discovery, Linked Data, Prosopography, Visualization

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