Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language

被引:0
|
作者
Gohsen, Marcel [1 ]
Stein, Benno [1 ]
机构
[1] Bauhaus Univ Weimar, Weimar, Germany
来源
PROCEEDINGS OF THE 2024 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL, CHIIR 2024 | 2024年
关键词
Knowledge Graph Construction; Semantic Web; Information Extraction;
D O I
10.1145/3627508.3638340
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in those graphs. Although few domain-specific knowledge graphs exist (e.g., Pubmed for medicine), developing specialized retrieval applications for many domains still requires constructing knowledge graphs from scratch. To facilitate knowledge graph construction, we introduce WAKA: a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language.
引用
收藏
页码:376 / 380
页数:5
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