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.

翻译：百科全书式知识图谱（如维基数据）承载着数百万条知识陈述的庞大数据库，但历史、物理、医学等领域的专业知识在这些图谱中代表性严重不足。尽管存在少量领域专用知识图谱（如医学领域的Pubmed），但为众多领域开发专业检索应用仍需从零开始构建知识图谱。为促进知识图谱构建，我们提出WAKA：一款允许领域专家通过他们最熟悉的媒介——自然语言——创建知识图谱的网络应用。