Using natural language processing techniques to inform research on nanotechnology
Using natural language processing techniques to inform research on nanotechnology
复制标题
使用自然语言处理技术为纳米技术研究提供信息
DOI：
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发表时间：
2015
影响因子：
3.1
通讯作者：
Bridget Mcinnes
中科院分区：
文献类型：
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作者：
Nastassja A. Lewinski;Bridget Mcinnes
随着越来越多的工程纳米材料被创造、表征和测试性能和安全性，纳米技术领域的文献呈指数级增长。随着出版数据的泛滥，需要自然语言处理方法来半自动地对工程纳米材料及其相关的物理化学性质、性能、暴露情景和生物效应进行编目。在本文中，我们回顾了已应用于专利挖掘、纳米材料/器件表征、纳米医学和环境风险评估的不同信息学方法。确定了9个基于自然语言处理(NLP)的工具：NanoPort、NanoMapper、TechPerceptor、文本挖掘框架、纳米设备分析器、临床试验文档分类器、纳米毒性搜索器、NanoSifter和NEIMiner。最后，我们建议通过在线资源库共享NLP相关工具，以扩大对纳米信息学的参与。
Literature in the field of nanotechnology is exponentially increasing with more and more engineered nanomaterials being created, characterized, and tested for performance and safety. With the deluge of published data, there is a need for natural language processing approaches to semi-automate the cataloguing of engineered nanomaterials and their associated physico-chemical properties, performance, exposure scenarios, and biological effects. In this paper, we review the different informatics methods that have been applied to patent mining, nanomaterial/device characterization, nanomedicine, and environmental risk assessment. Nine natural language processing (NLP)-based tools were identified: NanoPort, NanoMapper, TechPerceptor, a Text Mining Framework, a Nanodevice Analyzer, a Clinical Trial Document Classifier, Nanotoxicity Searcher, NanoSifter, and NEIMiner. We conclude with recommendations for sharing NLP-related tools through online repositories to broaden participation in nanoinformatics.
DOI：
10.1002/wnan.152
发表时间：
2011-09
影响因子：
8.6
作者：
Thomas, Dennis G.;Klaessig, Fred;Harper, Stacey L.;Fritts, Martin;Hoover, Mark D.;Gaheen, Sharon;Stokes, Todd H.;Reznik-Zellen, Rebecca;Freund, Elaine T.;Klemm, Juli D.;Paik, David S.;Baker, Nathan A.
通讯作者：
Baker, Nathan A.