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

Research output: Contribution to journalConference articleScientificpeer-review

Standard

Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint. / Leskinen, Petri; Miyakita, Goki; Koho, Mikko; Hyvönen, Eero.

In: CEUR Workshop Proceedings, Vol. 2187, 01.01.2018, p. 53-63.

Research output: Contribution to journalConference articleScientificpeer-review

Harvard

APA

Vancouver

Author

Bibtex - Download

@article{28f5ad71f9c84c58af2fa559db8e533f,
title = "Combining faceted search with data-analytic visualizations on top of a SPARQL endpoint",
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.",
keywords = "Biography, Knowledge Discovery, Linked Data, Prosopography, Visualization",
author = "Petri Leskinen and Goki Miyakita and Mikko Koho and Eero Hyv{\"o}nen",
year = "2018",
month = "1",
day = "1",
language = "English",
volume = "2187",
pages = "53--63",
journal = "CEUR WORKSHOP PROCEEDINGS",
issn = "1613-0073",
publisher = "RWTH Aachen University",

}

RIS - Download

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

PY - 2018/1/1

Y1 - 2018/1/1

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

M3 - Conference article

VL - 2187

SP - 53

EP - 63

JO - CEUR WORKSHOP PROCEEDINGS

JF - CEUR WORKSHOP PROCEEDINGS

SN - 1613-0073

ER -

ID: 29219337