CAREER: Cyber-Knowledge Infrastructure for Geospatial Data

地理空间网络基础设施是一个研究领域，其重点是地理空间数据以及为分散在网络空间中的广泛分布的地理空间资源提供更有效的组织、集成、计算和可视化的需求。这一职业奖将支持一位有前途的职业早期调查员努力构建网络知识基础设施的关键理论和技术，该基础设施可以增强在不断扩大的Web上使用地理空间数据的访问、搜索和推理能力。目前的数据搜索工具主要是使用源自计算机科学的标准技术构建的，忽略了地理空间数据的固有属性，如位置。研究人员将采用一套创新的算法，利用最佳可用的地理空间数据来回答复杂的时空问题。即将开展的研究活动将把传统的网络基础设施从数据基础设施转变为具有核心智能数据访问、搜索和推理元素的知识基础设施。该项目将满足对数据获取可持续性的迫切需求，并将提高广泛的科学和计算机信息领域的研究能力。项目成果和方法将有助于开发更智能的网络基础设施，以支持各种数据密集型应用程序中的数据和知识发现。这位研究人员将把她的研究与社区驱动的地理空间网络基础设施教育和推广活动结合起来，她将通过开源媒体提供在该项目过程中开发的算法和其他材料。这位研究人员将实施的研究计划将构建一个网络知识基础设施，将有效解决地理空间数据访问、发现和知识综合中的基本问题。该项目将整合三种支持智能知识发现的创新方法：(1)大规模网络挖掘技术；(2)结合自上而下本体论方法和自下而上数据挖掘方法的混合语义搜索技术；以及(3)支持高分辨率查询的智能时空推理系统。该项目的成功完成将产生各种地理空间数据、分析工具和工作流程，这些数据、分析工具和工作流程可以随时获取和重复使用，以便及时回答时空问题，并实时复制和验证科学成果。该项目将通过科学界推动的课程开发，帮助培养未来网络基础设施和数据科学研究人员的空间思维和计算思维技能。

Geospatial cyberinfrastructure is a research area that focuses on geospatial data and the need to provide more effective organization, integration, computation, and visualization for widely distributed geospatial resources scattered across cyberspace. This CAREER award will support a promising early-career investigator's efforts to build key theories and techniques of a cyber-knowledge infrastructure that enhances access, search, and reasoning capabilities for using geospatial data across the ever-expanding Web. Current data search tools are built primarily using standard techniques derived from computer science and ignore the inherent properties of geospatial data, such as location. The investigator will employ an innovative suite of algorithms to answer complex spatiotemporal questions using the best available geospatial data. The research activities to be conducted will transform traditional cyberinfrastructure from a data infrastructure to a knowledge infrastructure with core intelligent data access, search, and reasoning elements. The project will address a critical need for data-access sustainability and will increase research capabilities across a broad range of scientific and computer information domains. Project results and methods will help develop more intelligent cyberinfrastructure to support data and knowledge discovery in a variety of data-intensive applications. The investigator will integrate her research with community-driven geospatial cyberinfrastructure education and outreach activities, and she will make algorithms and other materials developed during the course of this project available via open source media.The research program to be pursued by this investigator will build a cyber-knowledge infrastructure that will effectively resolve fundamental issues residing in geospatial data access, discovery, and knowledge synthesis. The project will integrate three innovative approaches to support intelligent knowledge discovery: (1) a large-scale web-mining technique; (2) a hybrid semantic search technique that combines a top-down ontological approaches and a bottom-up data-mining approach; and (3) an intelligent spatiotemporal reasoning system that enables high resolution queries. The successful completion of the project will yield a variety of geospatial data, analytic tools, and workflows that can be readily accessible and reused in order to answer spatiotemporal questions in a timely manner as well as to reproduce and validate scientific results in real time. The project will help foster coupled spatial- and computational-thinking skills for future researchers in cyberinfrastructure and data science through scientific community-driven curriculum development.