Evaluating Bioinformatics Technology

评估生物信息学技术

• 批准号: 0326404
• 负责人: Lynette Hirschman
• 金额: $ 27.1万
• 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: 2003
• 资助国家: 美国
• 起止时间: 2003-05-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0326404&HistoricalAwards=false
• 关键词: Evaluating; Bioinformatics; Technology

Proposal: 0326404PI: Lynette HirschmanTitle: Evaluation Bioinformatics TechnologyAbstractThe focus of this effort is to put in place an international "challenge evaluation" for text data mining, modeled after the successful CASP evaluations (Critical Assessment of Techniques for the Protein Structure Prediction). An evaluation will be implemented focused initially on two tasks: identification of biologically significant entities; and extraction of relation information such as interactions or identification of Gene Ontology terms in the literature. A gold standard of training and test corpora will be obtained by using expert annotated data from BIND, SWISS-PROT and other model organism databases. These data sets will be made available to a wide community through a website. Organizations in computational linguistics and information retrieval will also be involved. The overall strategy is to focus on problems of importance to working biologists, such as improved curation tools for biological databases, and better access to textual information in both the literature and in curated databases. This approach provides infrastructure and support to multiple research groups. It also supports creation of training and test corpora to support many machine learning and statistical pattern recognition experiments.

提案：0326404 PI：Lynette Hirschman标题：评估生物信息学技术摘要这项工作的重点是在成功的CASP评估（蛋白质结构预测技术的关键评估）之后，为文本数据挖掘建立一个国际性的“挑战评估”。 评估将实施最初集中在两个任务：生物学上重要的实体的识别;和提取的关系信息，如相互作用或识别的基因本体论术语在文献中。 通过使用来自BIND、SWISS-PROT和其他模式生物数据库的专家注释数据，将获得训练和测试语料库的金标准。 这些数据集将通过一个网站向广大社区提供。 计算语言学和信息检索的组织也将参与其中。 总体战略是专注于对工作生物学家重要的问题，例如改进生物数据库的策展工具，以及更好地访问文献和策展数据库中的文本信息。 这种方法为多个研究小组提供了基础设施和支持。 它还支持创建训练和测试语料库，以支持许多机器学习和统计模式识别实验。