Visually Connecting Historical Figures Through Event Knowledge Graphs
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.
Citation
@inproceedings{Latif2021Visually,
author = {Shahid Latif, Shivam Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yannick Christian Tchenko, Elena Demidova, and Fabian Beck},
title = {Visually Connecting Historical Figures Through Event Knowledge Graphs},
booktitle = {IEEE VIS},
pages = {156-160},
year = {2021},
publisher = {IEEE},
doi = {10.1109/VIS49827.2021.9623313},
paperurl = {/publications/Latif2021Visually/Latif2021Visually.pdf},
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.}
}