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

Petri Leskinen, Goki Miyakita, Mikko Koho, Eero Hyvönen

Research output: Contribution to journalConference articleScientificpeer-review

5 Citations (Scopus)
97 Downloads (Pure)


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.

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


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


Dive into the research topics of 'Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint'. Together they form a unique fingerprint.

Cite this