Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage

Temporal data are crucial in many research activities within Digital Humanities (DH) and Cultural Heritage (CH). At the same time, there is a growing need for visualization tools to explore events in Linked Data (LD). This article investigates LD visualization tools that address event data in association with temporal data for research purposes in DH and CH. We analyze the availability of Wikidata visualization tools capable of handling event data for DH and CH research and propose ways to improve visualization tools to better represent temporal data in Wikidata. We identified 14 requirements based on principles from the information visualization domain, as well as an analysis of previous studies and existing tools. We design and develop a Wikidata-centric tool to meet these requirements. This tool is then evaluated through focus groups and questionnaires with DH and CH experts. The results of the evaluation show overall positive feedback and highlight the implicit need and value of visualization tools that handle events in Wikidata for research in DH and CH. In addition, they indicate the improved accessibility and visualization capabilities of Wikidata through the seven time-related functionalities of the tool.

Authors

Institutions

Publication Details

Journal
Semantic Web
Published
2025-12-11
DOI
https://doi.org/10.1177/22104968251395606
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage

Go Sugimoto, Jacco van Ossenbruggen, Victor de Boer
Semantic Web
Digital Humanities and Scholarship
article

Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage

Go Sugimoto, Jacco van Ossenbruggen, Victor de Boer
article en

Abstract

Temporal data are crucial in many research activities within Digital Humanities (DH) and Cultural Heritage (CH). At the same time, there is a growing need for visualization tools to explore events in Linked Data (LD). This article investigates LD visualization tools that address event data in association with temporal data for research purposes in DH and CH. We analyze the availability of Wikidata visualization tools capable of handling event data for DH and CH research and propose ways to improve visualization tools to better represent temporal data in Wikidata. We identified 14 requirements based on principles from the information visualization domain, as well as an analysis of previous studies and existing tools. We design and develop a Wikidata-centric tool to meet these requirements. This tool is then evaluated through focus groups and questionnaires with DH and CH experts. The results of the evaluation show overall positive feedback and highlight the implicit need and value of visualization tools that handle events in Wikidata for research in DH and CH. In addition, they indicate the improved accessibility and visualization capabilities of Wikidata through the seven time-related functionalities of the tool.

Semantic WebVol. 17(1)
Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 61%
Digital Humanities and Scholarship
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Wikidata Visualization for Event and Temporal Data Exploration in Digital Humanities and Cultural Heritage — Go Sugimoto, Jacco van Ossenbruggen, et al. · Semantic Web (2025) | TGRS Research Map | TGRS