TY - JOUR
T1 - Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint
AU - Leskinen, Petri
AU - Miyakita, Goki
AU - Koho, Mikko
AU - Hyvönen, Eero
N1 - Funding Information:
Thanks to Erkki Heino for implementational help regarding extending the Faceter SPARQL tool for our case studies, and to Jouni Tuominen for discussions related to the data models and data services underlying our applications. Goki Miyakita was supported by a mobility scholarship at Aalto University in the frame of the Erasmus Mundus Action 2 Project TEAM Technologies for Information and Communication Technologies, funded by the European Commission. Our research was also supported by the CSC computing services and the Severi project24 funded mainly by Business Finland.
Funding Information:
Acknowledgements Thanks to Erkki Heino for implementational help regarding extending the Faceter SPARQL tool for our case studies, and to Jouni Tuominen for discussions related to the data models and data services underlying our applications. Goki Miyakita was supported by a mobility scholarship at Aalto University in the frame of the Erasmus Mundus Action 2 Project TEAM Technologies for Information and Communication Technologies, funded by the European Commission. Our research was also supported by the CSC computing services and the Severi project24 funded mainly by Business Finland.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Biography
KW - Knowledge Discovery
KW - Linked Data
KW - Prosopography
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85053042672&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053042672&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85053042672
SN - 1613-0073
VL - 2187
SP - 64
EP - 69
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 4th International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2018
Y2 - 8 October 2018
ER -