'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
'HypothesisFinder:' a strategy for the detection of speculative statements in scientific text.
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DOI：
10.1371/journal.pcbi.1003117
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发表时间：
2013
影响因子：
4.3
通讯作者：
Hofmann-Apitius M
中科院分区：
文献类型：
--
作者：
Malhotra A;Younesi E;Gurulingappa H;Hofmann-Apitius M
科学文章中经常会出现一些表达实验发现的推测性陈述，其目的是为进一步研究给定主题提供动力。近年来，科学文本中推测性陈述的自动识别引起了人们的兴趣，因为对这些陈述的系统分析可以将推测性思想转化为可检验的假设。在这里，我们描述了一种模式匹配的方法，用于检测科学文本中的推测性语句，该方法使用推测性模式的字典来将句子分类为假设性的。为了证明我们的方法的实际效用，我们将其应用于阿尔茨海默病领域，并表明我们的自动化方法捕获了广泛的关于阿尔茨海默病的科学推测。随后对衍生的假设知识进行探索，从而对新出现的知识领域形成连贯一致的概览，从而为正在进行的研究活动提供附加值。已发表的关于正常和疾病生物过程潜在的可能分子机制的推测为新的科学假说的产生提供了有价值的投入。然而，系统地收集存在于给定背景下的所有科学推测是一项不平凡的任务，如果手动完成，则是费力和耗时的。这里概述的“假设推理”方法提供了一个可能的解决方案，使科学推测收集更容易处理。使用推测模式的字典，Hypothesismotherapy检测，整理和分析特定背景下发表的推测性声明。这可能是非常有用的，特别是在涉及复杂和知之甚少的疾病，如阿尔茨海默病。例如，通过制定一系列合理的猜测的原因和影响，我们可以获得新的见解的方向阿尔茨海默氏病的病因和进展。在Hypothesismandrel的帮助下进行有效的文献检索可以支持知识发现和假设生成的过程，这有可能为正在进行的研究活动增加价值。
Speculative statements communicating experimental findings are frequently found in scientific articles, and their purpose is to provide an impetus for further investigations into the given topic. Automated recognition of speculative statements in scientific text has gained interest in recent years as systematic analysis of such statements could transform speculative thoughts into testable hypotheses. We describe here a pattern matching approach for the detection of speculative statements in scientific text that uses a dictionary of speculative patterns to classify sentences as hypothetical. To demonstrate the practical utility of our approach, we applied it to the domain of Alzheimer's disease and showed that our automated approach captures a wide spectrum of scientific speculations on Alzheimer's disease. Subsequent exploration of derived hypothetical knowledge leads to generation of a coherent overview on emerging knowledge niches, and can thus provide added value to ongoing research activities. Published speculations about possible molecular mechanisms underlying normal and diseased biological processes provide valuable input for the generation of new scientific hypotheses. However, a systematic gathering of all scientific speculation that exists in a given context is a non-trivial task and, if done manually, is laborious and time-consuming. The “HypothesisFinder” approach outlined here provides a possible solution for making scientific speculation gathering more tractable. Using a dictionary of speculative patterns, HypothesisFinder detects, collates and analyzes published speculative statements for a specific context. This can be extremely useful, particularly in reference to complex and poorly understood diseases like Alzheimer's disease. For example, by formulating a series of reasonable speculations on causes and effects, we could gain new insights into the directions of Alzheimer's disease etiology and progression. An effective literature search with the help of HypothesisFinder can support the process of knowledge discovery and hypothesis generation, which has the potential to add value to ongoing research activities.
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影响因子：
3
作者：
Kilicoglu H;Bergler S
通讯作者：
Bergler S
影响因子：
9.5
作者：
Clark, Tim;Kinoshita, June
通讯作者：
Kinoshita, June
影响因子：
5.8
作者：
Avila-Campillo, Iliana;Drew, Kevin;Bonneau, Richard
通讯作者：
Bonneau, Richard
影响因子：
12.3
作者：
Morgan AA;Lu Z;Wang X;Cohen AM;Fluck J;Ruch P;Divoli A;Fundel K;Leaman R;Hakenberg J;Sun C;Liu HH;Torres R;Krauthammer M;Lau WW;Liu H;Hsu CN;Schuemie M;Cohen KB;Hirschman L
通讯作者：
Hirschman L
DOI：
10.1002/asi.20317
发表时间：
2006-02-01
影响因子：
--
作者：
Chen, CM
通讯作者：
Chen, CM