Song Tae-Min, Park Hyeoun-Ae, Jin Dal-Lae
Research Center on Psychosocial Health, Korea Institute for Health and Social Affairs, Seoul, Korea.
College of Nursing and Systems Biomedical Informatics Research Center, Seoul National University, Seoul, Korea.
Healthc Inform Res. 2014 Apr;20(2):88-98. doi: 10.4258/hir.2014.20.2.88. Epub 2014 Apr 30.
The aim of the study was to develop a metadata and ontology-based health information search engine ensuring semantic interoperability to collect and provide health information using different application programs.
Health information metadata ontology was developed using a distributed semantic Web content publishing model based on vocabularies used to index the contents generated by the information producers as well as those used to search the contents by the users. Vocabulary for health information ontology was mapped to the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and a list of about 1,500 terms was proposed. The metadata schema used in this study was developed by adding an element describing the target audience to the Dublin Core Metadata Element Set.
A metadata schema and an ontology ensuring interoperability of health information available on the internet were developed. The metadata and ontology-based health information search engine developed in this study produced a better search result compared to existing search engines.
Health information search engine based on metadata and ontology will provide reliable health information to both information producer and information consumers.
本研究旨在开发一个基于元数据和本体的健康信息搜索引擎，确保语义互操作性，以便使用不同应用程序收集和提供健康信息。
基于用于索引信息生产者生成的内容以及用户搜索内容的词汇表，采用分布式语义网内容发布模型开发健康信息元数据本体。健康信息本体的词汇表被映射到医学临床术语系统命名法（SNOMED CT），并提出了一份约1500个术语的列表。本研究中使用的元数据模式是通过在都柏林核心元数据元素集上添加一个描述目标受众的元素而开发的。
开发了一个确保互联网上健康信息互操作性的元数据模式和本体。与现有搜索引擎相比，本研究开发的基于元数据和本体的健康信息搜索引擎产生了更好的搜索结果。
基于元数据和本体的健康信息搜索引擎将为信息生产者和信息消费者提供可靠的健康信息。
