分类名称、元数据和语义网

R. Page
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引用次数: 50

摘要

生命科学标识符(lsid)为生物学中数字对象的全球唯一标识符问题提供了一个有吸引力的解决方案。但是,我建议在分类法名称上下文中,采用这些标识符的最引人注目的好处来自与每个LSID关联的元数据。通过尽可能地使用现有词汇表,并为特定于分类法的概念使用简单词汇表,我们可以以资源描述框架(Resource Description Framework, RDF)格式快速捕获有关分类法名称的基本信息。这开启了使用语义网开发的技术向生物多样性数据库添加“分类智能”的前景。本文在为系统发育数据库TreeBASE提供分类框架的背景下探讨了其中的一些想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taxonomic names, metadata, and the Semantic Web
Life Science Identifiers (LSIDs) offer an attractive solution to the problem of globally unique identifiers for digital objects in biology. However, I suggest that in the context of taxonomic names, the most compelling benefit of adopting these identifiers comes from the metadata associated with each LSID. By using existing vocabularies wherever possible, and using a simple vocabulary for taxonomy-specific concepts we can quickly capture the essential information about a taxonomic name in the Resource Description Framework (RDF) format. This opens up the prospect of using technologies developed for the Semantic Web to add ``taxonomic intelligence" to biodiversity databases. This essay explores some of these ideas in the context of providing a taxonomic framework for the phylogenetic database TreeBASE.
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