SGER: Utility and Usability of Text Mining for Biological Curation

SGER：文本挖掘在生物管理中的实用性和可用性

• 批准号: 0844419
• 负责人: Lynette Hirschman
• 金额: --
• 依托单位: Mitre Corporation Virginia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2011-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0844419&HistoricalAwards=false
• 关键词: SGER; Utility; Usability; Text; Mining

Biology is now an information science, increasingly dependent on the array of biological resources, such as expert-curated databases. The knowledge in these databases ultimately derives from literature, but the transfer requires experts to read, extract and structure the information for the database, which is both labor and expertise expensive. There has been significant progress in performance of text mining and information extraction tools to support the process, much of which has been demonstrated in the context of challenge evaluations and assessment. However, all of these have measured results such as precision and recall, rather than focusing of whether the tools help the intended end users. The PI will work closely with database curators to assess the impact of the tools and develop evaluation methods to guide tool developers. The measures will be used in upcoming text mining evaluations, for the first time making the evaluation process interactive and enabling the evaluation of utility and usability.

生物学现在是一门信息科学，越来越依赖于一系列生物资源，如专家管理的数据库。这些数据库中的知识最终来自文献，但转移需要专家为数据库阅读、提取和组织信息，这既耗费人力，又耗费专业知识。在支持这一进程的文本挖掘和信息提取工具的性能方面取得了重大进展，其中许多已在挑战评价和评估的背景下得到证明。然而，所有这些工具都衡量了精确度和召回率等结果，而不是关注这些工具是否有助于预期的最终用户。PI将与数据库管理员密切合作，评估这些工具的影响，并制定评估方法，以指导工具开发人员。这些措施将用于即将到来的文本挖掘评估，首次使评估过程具有互动性，并能够对实用性和可用性进行评估。