CNTRO：用于临床叙事中时间关系推理的语义网本体。
CNTRO: A Semantic Web Ontology for Temporal Relation Inferencing in Clinical Narratives.
作者信息
Tao Cui, Wei Wei-Qi, Solbrig Harold R, Savova Guergana, Chute Christopher G
机构信息
Mayo Clinic College of Medicine, Rochester, MN.
出版信息
AMIA Annu Symp Proc. 2010 Nov 13;2010:787-91.
Using Semantic-Web specifications to represent temporal information in clinical narratives is an important step for temporal reasoning and answering time-oriented queries. Existing temporal models are either not compatible with the powerful reasoning tools developed for the Semantic Web, or designed only for structured clinical data and therefore are not ready to be applied on natural-language-based clinical narrative reports directly. We have developed a Semantic-Web ontology which is called Clinical Narrative Temporal Relation ontology. Using this ontology, temporal information in clinical narratives can be represented as RDF (Resource Description Framework) triples. More temporal information and relations can then be inferred by Semantic-Web based reasoning tools. Experimental results show that this ontology can represent temporal information in real clinical narratives successfully.
使用语义网规范来表示临床叙述中的时间信息是进行时间推理和回答面向时间的查询的重要一步。现有的时间模型要么与为语义网开发的强大推理工具不兼容，要么仅为结构化临床数据而设计，因此尚未准备好直接应用于基于自然语言的临床叙述报告。我们开发了一种语义网本体，称为临床叙述时间关系本体。使用这个本体，临床叙述中的时间信息可以表示为RDF（资源描述框架）三元组。然后，可以通过基于语义网的推理工具推断出更多的时间信息和关系。实验结果表明，该本体能够成功地表示真实临床叙述中的时间信息。
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