CAREER: Cyber-Knowledge Infrastructure for Geospatial Data

职业：地理空间数据的网络知识基础设施

• 批准号: 1455349
• 负责人: Wenwen Li
• 金额: $ 44.99万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1455349&HistoricalAwards=false
• 关键词: CAREER; Cyber; Knowledge; Infrastructure; Geospatial

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.

地理空间网络基础设施是一个研究领域，重点是地理空间数据和需要提供更有效的组织，集成，计算和可视化的广泛分布的地理空间资源分散在网络空间。 这个职业奖将支持一个有前途的早期职业调查员的努力，建立一个网络知识基础设施的关键理论和技术，提高访问，搜索和推理能力，在不断扩大的网络使用地理空间数据。 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。 调查员将采用一套创新算法，利用现有最佳地理空间数据回答复杂的时空问题。 将进行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。 该项目将满足数据存取可持续性的迫切需要，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。 该研究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相结合，她将通过开源媒体提供该项目过程中开发的算法和其他材料。该研究员将从事的研究计划将建立一个网络知识基础设施，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。 该项目将整合三种创新方法来支持智能知识发现：（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;（3）能够实现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、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，并真实的再现和验证科学结果。 该项目将通过科学界驱动的课程开发，帮助未来的网络基础设施和数据科学研究人员培养空间和计算思维能力。

项目成果

Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection

• DOI: 10.3390/rs13112116
• 发表时间: 2021
• 期刊: Remote. Sens.
• 作者: Chia-Yu Hsu;Wenwen Li;Sizhe Wang