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.
%0 Conference Paper
%1 9623313
%A Latif, Shahid
%A Agarwal, Shivam
%A Gottschalk, Simon
%A Chrosch, Carina
%A Feit, Felix
%A Jahn, Johannes
%A Braun, Tobias
%A Tchenko, Yanick Christian
%A Demidova, Elena
%A Beck, Fabian
%B 2021 IEEE Visualization Conference (VIS)
%D 2021
%K bpa myown simpleml worldkg
%P 156-160
%R 10.1109/VIS49827.2021.9623313
%T Visually Connecting Historical Figures Through Event Knowledge Graphs
%U https://ieeexplore.ieee.org/document/9623313/
%X 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.
@inproceedings{9623313,
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.},
added-at = {2022-02-24T15:46:03.000+0100},
author = {Latif, Shahid and Agarwal, Shivam and Gottschalk, Simon and Chrosch, Carina and Feit, Felix and Jahn, Johannes and Braun, Tobias and Tchenko, Yanick Christian and Demidova, Elena and Beck, Fabian},
biburl = {https://www.bibsonomy.org/bibtex/2e8f140e9db5f43ce7b95988e9c7e87b3/sgottschalk},
booktitle = {2021 IEEE Visualization Conference (VIS)},
doi = {10.1109/VIS49827.2021.9623313},
interhash = {d886c6cfa9e44de49de74270c1288a46},
intrahash = {e8f140e9db5f43ce7b95988e9c7e87b3},
keywords = {bpa myown simpleml worldkg},
month = oct,
pages = {156-160},
timestamp = {2024-02-13T12:24:33.000+0100},
title = {Visually Connecting Historical Figures Through Event Knowledge Graphs},
url = {https://ieeexplore.ieee.org/document/9623313/},
year = 2021
}