Garcia Leyla, Giraldo Olga, Garcia Alexander, Rebholz-Schuhmann Dietrich
EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
ELIXIR Hub, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Genomics Inform. 2019 Jun;17(2):e14. doi: 10.5808/GI.2019.17.2.e14. Epub 2019 Jun 19.
The total number of scholarly publications grows day by day, making it necessary to explore and use simple yet effective ways to expose their metadata. Schema.org supports adding structured metadata to web pages via markup, making it easier for data providers but also for search engines to provide the right search results. Bioschemas is based on the standards of schema.org, providing new types, properties and guidelines for metadata, i.e., providing metadata profiles tailored to the Life Sciences domain. Here we present our proposed contribution to Bioschemas (from the project "Biotea"), which supports metadata contributions for scholarly publications via profiles and web components. Biotea comprises a semantic model to represent publications together with annotated elements recognized from the scientific text; our Biotea model has been mapped to schema.org following Bioschemas standards.
学术出版物的总数日益增长，因此有必要探索并采用简单而有效的方法来公开其元数据。Schema.org支持通过标记向网页添加结构化元数据，这不仅便于数据提供者，也便于搜索引擎提供正确的搜索结果。生物模式（Bioschemas）基于Schema.org的标准，为元数据提供新的类型、属性和指南，即提供针对生命科学领域量身定制的元数据配置文件。在此，我们展示我们对生物模式（来自“Biotea”项目）提议的贡献，该贡献通过配置文件和网络组件支持学术出版物的元数据贡献。Biotea包含一个语义模型，用于与从科学文本中识别出的带注释元素一起表示出版物；我们的Biotea模型已按照生物模式标准映射到Schema.org。
