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首页> 外文期刊>Studies in Health Technology and Informatics >Dealing with an Information Overload of Health Science Data: Structured utilisation of libraries, distributed knowledge in databases and web content
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Dealing with an Information Overload of Health Science Data: Structured utilisation of libraries, distributed knowledge in databases and web content

机译:处理卫生科学数据的信息超载:图书馆的结构化利用,数据库中的分布式知识以及网络内容

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摘要

The organizational structures of web contents and electronic information resources must adapt to the demands of a growing volume of information and user requirements. Otherwise the information society will be threatened by disinformation. The biomedical sciences are especially vulnerable in this regard, since they are strongly oriented toward text-based knowledge sources. Here sustainable improvement can only be achieved by using a comprehensive, integrated approach that not only includes data management but also specifically incorporates the editorial processes, including structuring information sources and publication. The technical resources needed to effectively master these tasks are already available in the form of the data standards and tools of the Semantic Web. They include Rich Site Summaries (RSS), which have become an established means of distributing and syndicating conventional news messages and blogs. They can also provide access to the contents of the previously mentioned information sources, which are conventionally classified as 'deep web' content.
机译:Web内容和电子信息资源的组织结构必须适应不断增长的信息需求和用户需求。否则,信息社会将受到虚假信息的威胁。生物医学在这方面特别脆弱,因为它们非常注重基于文本的知识源。在这里,可持续的改善只能通过使用一种全面的,集成的方法来实现,该方法不仅包括数据管理,而且还专门包括编辑流程,包括结构化信息源和出版物。有效地完成这些任务所需的技术资源已经以语义网的数据标准和工具的形式提供。其中包括丰富站点摘要(RSS),它已成为分发和联合常规新闻消息和博客的既定手段。它们还可以提供对先前提到的信息源内容的访问,这些信息源通常被分类为“深层Web”内容。

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