Lee Joo Yun
College of Nursing, Gachon University, Incheon, Korea.
Stud Health Technol Inform. 2019 Aug 21;264:1520-1521. doi: 10.3233/SHTI190514.
In this study we developed an ontology for accessing online health information related to pregnancy. Social media data and the categories in the literature on pregnancy information were used to collect terms for identifying class and class hierarchy. The developed ontology included 241 classes and 788 synonyms, with six superclasses. This ontology can be used to provide appropriate information based on a needs assessment.
在本研究中，我们开发了一种本体，用于访问与妊娠相关的在线健康信息。社交媒体数据以及妊娠信息文献中的类别被用于收集用于识别类和类层次结构的术语。所开发的本体包括241个类和788个同义词，有六个超类。该本体可用于根据需求评估提供适当的信息。
