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.

圣达菲研究所获得一笔赠款，通过开发和实施经过验证的新兴信息技术，特别是与语义网有关的技术，扩大、整合和自动化生态数据的获取和分析。这将通过为几个大型生态数据库开发有点类似于“混搭”的综合网络服务，并通过开发图形用户界面，使这些服务能够访问不同类型的数据，将数据无缝地输入工作流程系统，并以自动记录的方式进行综合分析，“横向”完成。这些活动将被整合，以便用户可以方便地访问各种各样的生态数据和分析的基础上的概念，如分类，生境，地理和营养关系。本项目开发的图形用户界面将通过利用调查数据库中的植物丰度数据、从在线食物网数据库中识别相关的当地食草动物及其体型以及分析这些食草动物的同期时间序列，对与植物-食草动物动态相关的数据进行综合分析。来自全球种群动态数据库的食草动物。该项目的产品将通过创建用于引入深度功能信息学“混搭”的新技术来改变生物学，这些新技术使用更用户友好的综合UI来协同现有的信息学资源。更广泛的影响包括：在计算机和自然科学的界面上加强研究和教育的基础设施;增加代表性不足的学生和研究人员的作用;通过各种媒体、会议和专业网络以及多层次的课程活动进行广泛的传播和推广。该项目将与太平洋生态信息学和计算生态学实验室、马里兰州大学、旧金山弗朗西斯科州立大学学院公园分校、亚利桑那大学和微软研究院合作开展。有关该项目的更多信息，请访问实验室网站：http://www.foodwebs.org。