Combining Faceted Search with Data-analytic Visualizations on Top of a SPARQL Endpoint

Petri Leskinen, Goki Miyakita, Mikko Koho, Eero Hyvönen

Forskningsoutput: TidskriftsbidragKonferensartikelVetenskapligPeer review

Sammanfattning

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 proposography 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.
Originalspråkengelska
TidskriftCEUR Workshop Proceedings
Volym2187
Sidor (från-till)53-63
Antal sidor11
ISSN1613-0073
StatusPublicerad - okt 2018
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangVOILA 2018: Visualization and Interaction for Ontologies and Linked Data - Montery, Förenta Staterna (USA)
Varaktighet: 8 okt 20188 okt 2018
http://voila2018.visualdataweb.org/

Vetenskapsgrenar

  • 113 Data- och informationsvetenskap
  • 615 Historia och arkeologi

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