通过事件知识图直观地连接历史人物

Shahid Latif, S. Agarwal, Simon Gottschalk, Carina Chrosch, Felix Feit, Johannes Jahn, Tobias Braun, Yanick Christian Tchenko, Elena Demidova, Fabian Beck
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引用次数: 4

摘要

知识图谱通过共享事件间接地存储有关历史人物及其关系的信息。我们开发了一个可视化系统,VisKonnect,用于根据历史人物参与的事件分析他们交织在一起的生活。解析用户的查询以识别已命名的实体,并从事件知识图中检索相关数据。虽然使用GPT-3语言模型生成查询的简短文本答案,但各种链接的可视化提供上下文,显示与查询相关的附加信息,并允许探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visually Connecting Historical Figures Through Event Knowledge Graphs
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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