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

• URL: http://arxiv.org/abs/2401.07683v1
• Date: Mon, 15 Jan 2024 13:51:00 GMT
• Title: Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
• Authors: Marcel Gohsen and Benno Stein
• Abstract summary: WAKA is a Web application that allows domain experts to create knowledge graphs through the medium with which they are most familiar: natural language. domain-specific knowledge from fields such as history, physics, or medicine is significantly underrepresented in knowledge graphs.
• Score: 11.554941963601088
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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