Semantic Web Informatics for Species in Space and Time

时空物种语义网络信息学

• 批准号: 0850373
• 负责人: Jennifer Dunne
• 金额: $ 150.28万
• 依托单位: Santa Fe Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-11-15 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0850373&HistoricalAwards=false
• 关键词: Semantic; Web; Informatics; Species; Space

The Santa Fe Institute is awarded a grant to extend, integrate, and automate access to and analysis of ecological data by developing and implementing proven and emerging information technologies, particularly those related to the Semantic Web. This will be done "horizontally" by developing integrative web services somewhat similar to "mash-ups" for several large ecological databases and by developing graphical user interfaces enabled by these services to access disparate types of data, seamlessly feed the data into workflow systems, and conduct integrated analyses in an automatically documented manner. These activities will be integrated so that users can easily access a wide variety of ecological data and analyses based on concepts such as taxonomy, habitat, geography, and trophic relations. Graphical user interfaces developed in this project will enable integrated analysis of data related to plant-herbivore dynamics by drawing on plant abundance data from survey databases, identifying associated local herbivores and their body sizes from online food web databases, and analyzing contemporaneous time series of those herbivores drawn from databases on global populations dynamics. The products of this project will transform biology by creating new technologies used to introduce deeply functional informatics "mash-ups" that synergize existing informatics resources using more user-friendly integrative UIs. Broader impacts include an enhanced infrastructure for research and education at the interface of computer and natural sciences; increased roles for underrepresented students and researchers; and wide dissemination and outreach through diverse media, meetings and professional networks as well as curricular activities at multiple levels. The project will be carried out in collaboration with the Pacific Ecoinformatics and Computational Ecology Lab, University of Maryland, College Park, San Francisco State University, the University of Arizona, and Microsoft Research. Further information about this project may be found at the lab website: http://www.foodwebs.org.

通过开发和实施验证和新兴信息技术，尤其是与语义网络相关的信息，圣达菲研究所获得了扩展，集成和自动访问和分析生态数据的赠款。这将通过开发与几个大型生态数据库的“混搭”的“水平”来完成，并通过开发这些服务启用的图形用户界面来访问不同类型的数据，并以自动记录的方式将数据无缝地馈送到工作流程系统中，并以自动记录的方式进行集成分析。这些活动将被整合在一起，以便用户可以根据分类学，栖息地，地理和营养关系等概念轻松访问各种生态数据和分析。在本项目中开发的图形用户界面将通过从调查数据库中绘制植物丰度数据，从而从在线食品网络数据库中识别相关的本地草食动物及其身体大小，并分析从在线食物网络数据库中识别相关的本地草食动物及其身体大小，并分析从全球群体数据库中绘制的这些草药的同时时间序列，从而实现与植物 - 动物动力学相关的数据的集成分析。该项目的产品将通过创建用于引入深层功能性信息“混搭”的新技术来改变生物学，从而使用更易于用户友好的集成UI协同现有信息学资源。更广泛的影响包括在计算机和自然科学界面上进行研究和教育的增强基础设施；代表性不足的学生和研究人员的角色增加了；以及通过各种媒体，会议和专业网络以及多个级别的课程活动的广泛传播和宣传。该项目将与太平洋生态信息学和计算生态实验室，马里兰州大学，大学公园，旧金山州立大学，亚利桑那大学和微软研究一起进行。有关该项目的更多信息可以在实验室网站上找到：http：//www.foodwebs.org。