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Organizing phenotypic data—a semantic data model for anatomy

机译:组织表型数据-解剖学的语义数据模型

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摘要

BackgroundCurrently, almost all morphological data are published as unstructured free text descriptions. This not only brings about terminological problems regarding semantic transparency, which hampers their re-use by non-experts, but the data cannot be parsed by computers either, which in turn hampers their integration across many fields in the life sciences, including genomics, systems biology, development, medicine, evolution, ecology, and systematics. With an ever-increasing amount of available ontologies and the development of adequate semantic technology, however, a solution to this problem becomes available. Instead of free text descriptions, morphological data can be recorded, stored, and communicated through the Web in the form of highly formalized and structured directed graphs (semantic graphs) that use ontology terms and URIs as terminology.
机译:背景技术目前,几乎所有形态学数据都以无结构的自由文本描述形式发布。这不仅带来了关于语义透明性的术语问题,从而阻碍了非专家对它们的重复使用,而且计算机也无法解析数据,从而阻碍了它们在生命科学的各个领域(包括基因组学,系统)的集成。生物学,发展,医学,进化,生态学和系统学。但是,随着可用本体的数量不断增加以及适当语义技术的发展,可以找到解决该问题的方法。可以用高度形式化和结构化的有向图(语义图)(使用本体术语和URI作为术语)通过Web记录,存储和传递形态数据,而不是使用自由文本描述。

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