TWC: Medium: Collaborative Proposal: Policy Compliant Integration of Linked Data

TWC：媒介：协作提案：关联数据的政策合规集成

• 批准号: 1228673
• 负责人: Timothy Finin
• 金额: $ 40万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1228673&HistoricalAwards=false
• 关键词: TWC; Medium; Collaborative; Proposal; Policy

The ubiquity of computing technology and the Internet have created an age of big data that has the potential to greatly enhance the efficiency of our societies and the well-being of all people. The trend comes with problems that threaten to prevent or undermine the benefits. An immediate concern is how to fuse, integrate and analyze data while respecting privacy, security and usage concerns. A second issue is allowing data to remain distributed, enabling its owners to maintain and control quality as well as to enforce security and privacy policies. A final underlying challenge is helping to produce sound and useful results by assuring that systems understand the meaning of the data being integrated and analyzing access and usage policies. For some domains, like health informatics and clinical research, solving these problems will have a significant impact on society.This project explores an approach to solving these problems by developing a policy-compliant integration system for linked healthcare data. The system models data, schemas and policies using open Web standards such as Semantic Web languages, federates queries to independent Linked Data stores based on content, provides policy enforcement by modifying incompliant queries, and uses formal methods to guarantee correctness of key components.This project provides new approaches to solving one of the most significant problems our society faces in the 21st century: benefiting from the integration of distributed linked data while respecting security, privacy, and usage requirements. The prototype tools and systems are incorporated into our educational activities and made available to others via appropriate open source licenses.

计算技术和互联网的无处不在创造了一个大数据时代，有可能极大地提高我们社会的效率和所有人的福祉。这一趋势伴随着一些问题，这些问题可能会阻碍或破坏这些好处。当务之急是如何在尊重隐私、安全和使用顾虑的同时融合、集成和分析数据。第二个问题是允许数据保持分布式，使其所有者能够保持和控制质量，以及执行安全和隐私政策。最后一个潜在挑战是通过确保系统理解要集成的数据的含义以及分析访问和使用策略来帮助产生可靠和有用的结果。对于一些领域，如卫生信息学和临床研究，解决这些问题将对社会产生重大影响。本项目探索了一种通过开发符合政策的关联医疗数据集成系统来解决这些问题的方法。该系统使用开放的Web标准(如语义Web语言)对数据、模式和策略进行建模，基于内容将查询联合到独立的链接数据存储，通过修改不符合的查询来提供策略实施，并使用正式方法来保证关键组件的正确性。该项目为解决21世纪社会面临的最重要问题之一提供了新的方法：在尊重安全、隐私和使用要求的同时受益于分布式链接数据的集成。原型工具和系统被整合到我们的教育活动中，并通过适当的开源许可证提供给其他人使用。