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

Tutkimustuotos: Lehtiartikkeli



  • Keio University
  • University of Helsinki


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.


JulkaisuCEUR Workshop Proceedings
TilaJulkaistu - 1 tammikuuta 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaVisualization and Interaction for Ontologies and Linked Data - Monterey, Yhdysvallat
Kesto: 8 lokakuuta 20188 lokakuuta 2018
Konferenssinumero: 4

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