Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph
  Construction from Natural Language
Marcel Gohsen Benno Stein
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.