Abstract

Annotations enrich text corpora and provide necessary labels for natural language processing studies. To reason and infer underlying implicit knowledge captured by labels, an ontology is needed to provide a semantically annotated corpus with structured domain knowledge. Utilizing a corpus of adverse event documents annotated for sepsis-related signs and symptoms as a use case, this paper details how a terminology and corresponding ontology were developed. The Annotated Adverse Event NOte TErminology (AAENOTE) represents annotated documents and assists annotators in annotating text. In contrast, the complementary Catheter Infection Indications Ontology (CIIO) is intended for clinician use and captures domain knowledge needed to reason and infer implicit information from data. The approach taken makes ontology development understandable and accessible to domain experts without formal ontology training.

中文翻译：

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语义注释的术语和本体开发：败血症和不良事件的用例

摘要

注释丰富了文本语料库并为自然语言处理研究提供了必要的标签。为了推理和推断标签捕获的潜在隐含知识，需要本体来提供具有结构化领域知识的语义注释语料库。利用为脓毒症相关体征和症状注释的不良事件文档语料库作为用例，本文详细介绍了如何开发术语和相应的本体。Annotated Adverse Event NOte TERminology (AAENOTE) 表示带注释的文档并协助注释者注释文本。相比之下，互补的导管感染指示本体论 (CIIO) 旨在供临床医生使用，并获取从数据中推理和推断隐含信息所需的领域知识。