EAGER: Collaborative Research: EarthCube Building Blocks, Leveraging Semantics and Linked Data for Geoscience Data Sharing and Discovery

EAGER：协作研究：EarthCube 构建模块，利用语义和关联数据进行地球科学数据共享和发现

• 批准号: 1354778
• 负责人: Pascal Hitzler
• 金额: $ 7.5万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1354778&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; EarthCube; Building

This innovative project carries out exploratory research applying semantic technologies to support data representation, discovery, sharing, and integration between disparate geoscience data types and structures. It is a risky, high pay-off activity that, if successful, has the potential to transform our ability to discover, access, and use geoscience data in ways not possible at present. The goal of this research is to develop a prototype involving the data collections of some major NSF-funded Data Management Centers: IEDA and R2R at the Lamont Doherty Earth Observatory at Columbia University and BCO-DMO at the Woods Hole Oceanographic Institution. The effort is focused on making NSF-collected data for the ocean sciences and other associated datasets more easily and widely accessible and available to researchers and the public. Linked Open Data methodologies will be employed. Essential elements of this approach include the use of unique data identifiers to mark, link-to, and dereference specific data and details. Once the intial relationships are aligned, the new system can automatically infer new relationships between data and data locations. Goals will be to semantically integrate the data already available from the initially targeted data reposotiries in such a way that the approach can be scaled up to the whole of EarthCube, a new NSF initiative to develop a geoscience knowledge and data mangement system for the 21st Century. This project is a collaboration between ocean science resaerchers, computer scientists, and ocean data management centers from Maryland, Ohio, New York, and Massachusetts. Braoder impacts of the work include building infrastructure for science and improving public accessiblity to NSF-funded data collections.

这一创新项目开展了探索性研究，应用语义技术来支持不同的地学数据类型和结构之间的数据表示、发现、共享和集成。这是一项高风险、高回报的活动，如果成功，有可能以目前不可能的方式改变我们发现、获取和使用地球科学数据的能力。这项研究的目标是开发一个原型，涉及一些主要的NSF资助的数据管理中心的数据收集：哥伦比亚大学Lamont Doherty地球天文台的IEDA和R2R，以及伍兹霍尔海洋研究所的BCO-DMO。这项工作的重点是使NSF为海洋科学和其他相关数据集收集的数据更容易和更广泛地获取，并供研究人员和公众使用。将采用关联开放数据方法。这种方法的基本元素包括使用唯一数据标识符来标记、链接和取消引用特定数据和详细信息。一旦初始关系一致，新系统就可以自动推断数据和数据位置之间的新关系。目标将是在语义上整合最初目标数据储存库中已有的数据，以便该方法可以扩大到整个EarthCube，这是美国国家科学基金会的一项新倡议，旨在开发21世纪的地球科学知识和数据管理系统。该项目是来自马里兰州、俄亥俄州、纽约州和马萨诸塞州的海洋科学研究人员、计算机科学家和海洋数据管理中心之间的合作。这项工作的更大影响包括为科学建设基础设施，以及提高公众获得NSF资助的数据收集的机会。