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Online tools to support literature-based discovery in the life sciences

机译:支持生命科学中基于文献的发现的在线工具

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摘要

In biomedical research, the amount of experimental data and published scientific information is overwhelming and ever increasing, which may inhibit rather than stimulate scientific progress. Not only are text-mining and information extraction tools needed to render the biomedical literature accessible but the results of these tools can also assist researchers in the formulation and evaluation of novel hypotheses. This requires an additional set of technological approaches that are defined here as literature-based discovery (LBD) tools. Recently, several LBD tools have been developed for this purpose and a few well-motivated, specific and directly testable hypotheses have been published, some of which have even been validated experimentally. This paper presents an overview of recent LBD research and discusses methodology, results and online tools that are available to the scientific community.
机译:在生物医学研究中,实验数据和已发表的科学信息的数量是巨大的,并且还在不断增加,这可能会抑制而不是刺激科学进步。不仅需要文本挖掘和信息提取工具来使生物医学文献容易获得,而且这些工具的结果还可以帮助研究人员制定和评估新的假设。这需要一组额外的技术方法,在此定义为基于文献的发现(LBD)工具。最近,已为此目的开发了几种LBD工具,并发布了一些动机良好,具体且可直接测试的假设,其中一些甚至已通过实验验证。本文概述了最近的LBD研究,并讨论了可用于科学界的方法,结果和在线工具。

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