Towards a phenotypic Semantic web
Towards a phenotypic Semantic web
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DOI：
10.2174/157489306777011941
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发表时间：
2006-05-01
影响因子：
4
通讯作者：
Gkoutos, Georgios V.
中科院分区：
文献类型：
--
作者：
Gkoutos, Georgios V.
互联网对生物学的影响是不可否认的。生物和分子资源发现的互联网发展的下一阶段必须是走向被描述为语义网的东西，在这种网络中，不仅人类，而且机器都可以基于关于生物学和分子科学的可验证断言的集合，做出“生物智能”的决定。这一愿景需要商定由自动化工具以及由人共享和处理的数据和元数据的通用表示法。在这篇综述中，我们描述了从最初的互联网概念到实现语义网的必要过渡步骤，并以其在表型信息构建和传递中的应用为例。我们回顾了语义网的不同部分，如XML、元数据、RDF、OWL、数字签名、本体和网格，同时集中讨论了本体如何应用于生物学，更具体地说，是如何应用于表型标注。最后，我们讨论了语义网将如何改变生物信息管理、检索和可视化，同时确保可获得用于确定模型结构和生物系统的正确类型和格式的高质量数据。
The impact of the internet in Biology is undeniable. The next stage in the evolution of the Internet for biological and molecular resource discovery must be towards what has been described as a semantic Web, where not only humans but machines can make "biologically intelligent" decisions based on collections of authenticable assertions about biology and molecular sciences. This vision requires agreed common representations of data and metadata shared and processed by automated tools as well as by people. Ontologies have become an integral part of achieving this and transformed biological resource management.In this review, we describe the necessary transition steps from the initial conception of the internet to the realisation of the semantic web using as an example its application in phenotypic information construction and delivery. We review the different parts of the Semantic web, such as XML, metadata, RDF, OWL, digital signatures, ontologies and grids whilst concentrating on how ontology is applied in Biology and more specifically in phenotype annotation. Finally, we discuss how the semantic web will transform biological information management, retrieval and visualisation whilst ensuring the availability of high quality data of the correct type and format for the determination of model structures and biological systems.