Life sciences on the Semantic Web: the Neurocommons and beyond
Life sciences on the Semantic Web: the Neurocommons and beyond
复制标题
DOI：
10.1093/bib/bbp004
复制
发表时间：
2009-03-01
影响因子：
9.5
通讯作者：
Marshall, M. Scott
中科院分区：
文献类型：
--
作者：
Ruttenberg, Alan;Rees, Jonathan A.;Marshall, M. Scott
转化研究是将基础研究成果与临床应用相结合的努力，取决于使用跨多个学科的信息有效回答问题的能力。语义网强调使用标准表示语言组合信息、通过标准网络协议访问信息以及利用计算技术（例如以推理和分布式查询的形式），为在网络规模上组装、集成和提供生物医学知识提供了社会和技术基础。在本文中，我们讨论使用语义网技术来组装和查询来自多个来源和学科的生物医学知识。我们展示了 Neurocommons 原型知识库，这是一个旨在展示使用这些技术的可行性和好处的演示。原型知识库可用于试验和评估用于创建此类资源的当前工具和方法的可扩展性，并引出需要解决的问题，以扩大其范围和使用。我们通过回顾一些示例查询来展示知识库的实用性，这些示例查询为与理解疾病相关的精确问题提供了答案。知识库的所有组件都可以在 http://neurocommons.org/ 上免费获取，使读者能够重建知识库并尝试这项新技术。
Translational research, the effort to couple the results of basic research to clinical applications, depends on the ability to effectively answer questions using information that spans multiple disciplines. The Semantic Web, with its emphasis on combining information using standard representation languages, access to that information via standard web protocols, and technologies to leverage computation, such as in the form of inference and distributable query, offers a social and technological basis for assembling, integrating and making available biomedical knowledge at Web scale. In this article, we discuss the use of Semantic Web technology for assembling and querying biomedical knowledge from multiple sources and disciplines. We present the Neurocommons prototype knowledge base, a demonstration intended to show the feasibility and benefits of using these technologies. The prototype knowledge base can be used to experiment with and assess the scalability of current tools and methods for creating such a resource, and to elicit issues that will need to be addressed in order to expand the scope and use of it. We demonstrate the utility of the knowledge base by reviewing a few example queries that provide answers to precise questions relevant to the understanding of disease. All components of the knowledge base are freely available at http://neurocommons.org/, enabling readers to reconstruct the knowledge base and experiment with this new technology.