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

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Volume Title
Conference article
Date
2018-01-01
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Mcode
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Language
en
Pages
53-63
Series
CEUR Workshop Proceedings, Volume 2187
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.
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Keywords
Biography, Knowledge Discovery, Linked Data, Prosopography, Visualization
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Citation
Leskinen, P, Miyakita, G, Koho, M & Hyvönen, E 2018, ' Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint ', CEUR Workshop Proceedings, vol. 2187, pp. 53-63 . < http://ceur-ws.org/Vol-2187/ >