Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management.
Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management.
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DOI：
10.1002/asi.21414
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发表时间：
2010-12-01
影响因子：
--
通讯作者：
Rindflesch, Thomas C.
中科院分区：
文献类型：
--
作者：
Keselman, Alla;Rosemblat, Graciela;Kilicoglu, Halil;Fiszman, Marcelo;Jin, Honglan;Shin, Dongwook;Rindflesch, Thomas C.
灾难健康信息的爆炸导致响应专业人员的信息过载。该项目的目标是确定应用语义自然语言处理 (NLP) 技术来解决这种过载问题的可行性。该项目描述了流感大流行的灾难健康相关文档中常用的概念和关系，作为使现有语义摘要器适应该领域的基础。方法包括对一组相关文档进行人工审查和语义 NLP 分析。随后进行试点测试，两名信息专家使用改编后的应用程序来执行实际的信息搜索任务。根据结果，流感流行管理的本体可以通过可管理数量的语义关系来描述，这些语义关系涉及有限数量的语义类型的概念。测试用户演示了使用应用程序获取有用信息的几种方法。这表明现有的语义 NLP 算法可以适用于支持流感流行和其他灾难卫生领域的信息汇总和可视化。然而，在术语开发（因为许多相关关系和术语不属于现有标准化词汇表）、NLP 和用户界面设计领域还需要进行更多研究。
Explosion of disaster health information results in information overload among response professionals. The objective of this project was to determine the feasibility of applying semantic natural language processing (NLP) technology to addressing this overload. The project characterizes concepts and relationships commonly used in disaster health-related documents on influenza pandemics, as the basis for adapting an existing semantic summarizer to the domain. Methods include human review and semantic NLP analysis of a set of relevant documents. This is followed by a pilot-test in which two information specialists use the adapted application for a realistic information seeking task. According to the results, the ontology of influenza epidemics management can be described via a manageable number of semantic relationships that involve concepts from a limited number of semantic types. Test users demonstrate several ways to engage with the application to obtain useful information. This suggests that existing semantic NLP algorithms can be adapted to support information summarization and visualization in influenza epidemics and other disaster health areas. However, additional research is needed in the areas of terminology development (as many relevant relationships and terms are not part of existing standardized vocabularies), NLP, and user interface design.
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影响因子：
7.5
作者：
Chapman, WW;Christensen, LM;Olszewski, RT
通讯作者：
Olszewski, RT
影响因子：
3.1
作者：
Mudalige, M;Carley, S;Mackway-Jones, K
通讯作者：
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影响因子：
4.5
作者：
Fiszman, Marcelo;Demner-Fushman, Dina;Rindflesch, Thomas C.
通讯作者：
Rindflesch, Thomas C.
影响因子：
4.4
作者：
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通讯作者：
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影响因子：
4.5
作者：
Rindflesch, TC;Fiszman, M
通讯作者：
Fiszman, M