Visually Connecting Historical Figures Through Event Knowledge Graphs
Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix, Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova,, and Fabian Beck
TL;DR
This paper introduces VisKonnect, a visualization system that uses event knowledge graphs and GPT-3 to analyze and explore the relationships among historical figures through shared events.
Contribution
The paper presents a novel visualization system integrating event knowledge graphs with language models for interactive historical analysis.
Findings
Effective visualization of historical figure relationships
Integration of GPT-3 for generating textual answers
Enhanced exploration through linked visualizations
Abstract
Knowledge graphs store information about historical figures and their relationships indirectly through shared events. We developed a visualization system, VisKonnect, for analyzing the intertwined lives of historical figures based on the events they participated in. A user's query is parsed for identifying named entities, and related data is retrieved from an event knowledge graph. While a short textual answer to the query is generated using the GPT-3 language model, various linked visualizations provide context, display additional information related to the query, and allow exploration.
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