BCSP: Collaborative Research: ABI Development: Exploring Taxon Concepts (ETC) through analysing fine-grained semantic markup of descriptive literature

BCSP：协作研究：ABI 开发：通过分析描述性文献的细粒度语义标记探索分类概念 (ETC)

• 批准号: 1643002
• 负责人: Bertram Ludaescher
• 金额: $ 33.66万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-04-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1643002&HistoricalAwards=false
• 关键词: BCSP; Collaborative; Research; ABI; Development

A collaborative award has been made to the University of Arizona and the University of Illinois at Urbana-Champagne to develop novel ways of tying scientific names directly to published biological characteristics of organisms, and to implement a new user-friendly program, the Explorer of Taxon Concepts (ETC), to assist with the disambiguation of the scientific names of species at all taxonomic ranks. Prototypes from several successful NSF-funded projects are integrated through ETC to enable: (i) text-mining extraction of taxonomic knowledge from scientific literature, (ii) analysis and integration of this knowledge using logic-based reasoning and information theoretic methods, and (iii) result visualization. The results shed light on similarities and differences among various scientists' understanding of a particular species, as well as relations between the terminology used by different scientists, allowing for more accurate integration of data gathered by different investigators. A component of the ETC project is computer science research aimed at a novel integration of state-of-the-art logic inference and information theoretic approaches to taxonomic science.Scientific names are the primary identifiers for organisms and the anchor for the communication and comparison of biological knowledge. However, there is constant revision of the definition of taxa by experts, making interpretation of the names through time challenging. This project will produce and demonstrate the use of ETC software on descriptive scientific literature from the Rosaceae (the Rose family) and Apoidea (the Bee super-family) to facilitate research into critical pollination systems. These pollination systems are currently of great concern due to reductions in bee populations globally with the potential to reduce yield of many staple food crops. ETC's components support scientific knowledge value added to its inputs, making them useful in many other biodiversity information applications. Character and anatomy ontologies built and enhanced by the ETC project will benefit all knowledge-based applications in biology. The project adopts the following strategies to broaden its accessibility: The integration of ETC components with existing biological computing infrastructure such as DataONE and iPlant will make the tools broadly available. The partnership with iPlant's successful Education, Outreach, and Training (EOT) group will document the software for instructional use and encourage its adoption in the classroom. Components of the research and the final products will also be packaged into learning modules for college and graduate level courses at University of Arizona, the University of Illinois at Urbana-Champagne, and other universities. Project outcomes will be accessible via the link provided at: http://sirls.arizona.edu/node/684.

已向亚利桑那大学和伊利诺伊大学Urbana-Champagne分别颁发了合作奖，以开发新的方法，将科学名称直接与有机体的生物学特征联系起来，并实施一个新的用户友好计划，即新的用户友好计划，即探险家的资源管理器概念（等），以帮助对所有分类等级的物种科学名称的歧义。来自几个成功的NSF资助项目的原型通过ETC进行了整合，以启用：（i）从科学文献中提取分类学知识的文本挖掘，（ii）使用基于逻辑的推理和信息理论方法分析和整合了此知识，以及（ iii）结果可视化。结果阐明了各种科学家对特定物种的理解之间的相似性和差异，以及不同科学家使用的术语之间的关系，从而使不同研究者收集的数据更准确地整合。 ETC项目的一个组成部分是计算机科学研究，旨在将最先进的逻辑推理和信息理论方法的新颖整合到分类学科学的理论方法上。科学名称是生物体的主要标识符，以及用于沟通和比较的锚点生物学知识。但是，专家对分类单元的定义进行了不断的修改，从而通过挑战时间来解释名称。该项目将产生并证明从酒渣鼻科（玫瑰家族）和Apoidea（蜜蜂超家族）中使用ETC软件在描述性科学文献中使用，以促进对关键授粉系统的研究。由于全球蜜蜂种群的减少，这些授粉系统目前引起了人们的关注，并有可能降低许多主食食品作物的产量。 ETC的组件支持其输入中添加的科学知识值，使其在许多其他生物多样性信息应用中有用。由ETC项目构建和增强的角色和解剖学本体将使所有基于知识的生物学应用有益于生物学。该项目采用以下策略来扩大其可访问性：将ETC组件与现有的生物计算基础架构（如Dataone和Iplant）的集成将使工具广泛可用。与Iplant成功的教育，外展和培训（EOT）小组的合作关系将记录该软件以供教学使用，并鼓励其在课堂上采用。该研究和最终产品的组成部分还将包装成亚利桑那大学，伊利诺伊大学Urbana-Champagne大学和其他大学的大学和研究生课程的学习模块。项目成果将通过提供的链接访问：http：//sirls.arizona.edu/node/684。