Bioschemas: schema.org for the Life Sciences
Bioschemas: schema.org for the Life Sciences
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生物模式：生命科学领域的 schema.org
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Bioschemas Community
中科院分区：
文献类型：
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作者：
L. García;O. Giraldo;A. G. Castro;M. Dumontier;Bioschemas Community
。网站通常用于向最终用户公开数据，启用搜索、过滤和下载功能，使用户更容易找到、组织和获取与自己兴趣相关的数据。随着生命科学领域数据的不断增长，用户很难在一个单一的网站上轻松地找到他们研究所需的信息。搜索引擎应该使研究人员更容易从多个网站搜索和检索整理的信息，这样他们就可以更好地决定下一步该去哪里。org是一个协作项目，为网页中的数据提供语义结构模式。通过添加语义标记，可以更容易地确定一个网页是指一本书还是一部电影。它还有助于以类似于维基百科中使用的信息框的方式总结信息。Bioschemas是一个社区的努力，旨在扩展schema.org以支持生命科学网站的标记。在这里，我们概述了Bio-schemas使用和建议的主要类型，以支持这种标记。可用性:http://bioschemas.org/
. Websites are commonly used to expose data to end users, enabling search, filter, and download capabilities making it easier for users to find, organize and obtain data relevant to their own interests. With the continuous growth of data in the Life Sciences domain, it becomes difficult for users to easily find information required for their research on one single website. Search engines should make it easier for researchers to search and retrieve collated information from multiple sites so they can better decide where to go next. Schema.org is a collaborative project providing schemas for semantically structuring data in web pages. By adding semantic mark-up it becomes easier to determine whether a web page refers to a book or a movie. It also facilitates summarizing information in a fashion similar to infoboxes used in Wikipedia. Bioschemas is a community effort aiming to extend schema.org to support mark-up for Life Sciences web-sites. Here we present an overview of the main types used and proposed by Bio-schemas in order to support such mark up. Availability: http://bioschemas.org/