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Encyclopedic knowledge graphs, such as Wikidata, host an extensive repositoryof millions of knowledge statements. However, domain-specific knowledge fromfields such as history, physics, or medicine is significantly underrepresentedin those graphs. Although few domain-specific knowledge graphs exist (e.g.,Pubmed for medicine), developing specialized retrieval applications for manydomains still requires constructing knowledge graphs from scratch. Tofacilitate knowledge graph construction, we introduce WAKA: a Web applicationthat allows domain experts to create knowledge graphs through the medium withwhich they are most familiar: natural language.

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