Analyzing and Visualizing Prosopographical Linked Data Based on Biographies

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Abstract

This paper shows how faceted search on biographical data can be utilized as a flexible basis for filtering target groups of people and, in particular, how generic data analysis and visualizations tools can then be applied for solving prosopographical research questions based on the filtered data. This idea is demonstrated and evaluated in practice by presenting two application case studies: 1) linked data extracted from a printed registry of over 10 000 alumni (1867–1992) of the prominent Finnish high school Norssi, and 2) a knowledge graph extracted from 13 000 short biographies of significant Finnish people (from 3rd century to present times) in the National Biography of Finland. In both cases, the data is enriched by linking their entities with several other external datasets.
Original languageEnglish
Title of host publicationBiographical Data in a Digital World 2017
EditorsAntske Fokkens, Serge ter Braake, Ronald Sluijter, Paul Arthur, Eveline Wandl-Vogt
PublisherRWTH Aachen
Pages39-44
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventBiographical Data in a Digital World - Ars Electronica Linz, Linz, Austria
Duration: 6 Nov 20177 Nov 2017
Conference number: 2
https://sites.google.com/view/bd2017/home

Publication series

NameCEUR Workshop Proceedings
Volume2119
ISSN (Electronic)1613-0073

Conference

ConferenceBiographical Data in a Digital World
Abbreviated titleBD
Country/TerritoryAustria
CityLinz
Period06/11/201707/11/2017
Internet address

Keywords

  • Biography
  • Data visualization
  • Linked data
  • Prosopography

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