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

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:
$40.0万
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
项目状态:
已结题
起止时间:
2012-09-01 至 2017-01-31

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中文摘要
翻译
无处不在的计算技术和互联网创造了一个大数据时代,它有可能极大地提高我们社会的效率和所有人的福祉。这一趋势带来了一些问题,可能会阻止或破坏这些好处。一个迫在眉睫的问题是如何融合、集成和分析数据,同时尊重隐私、安全和使用问题。第二个问题是允许数据保持分布式,使其所有者能够维护和控制质量,以及执行安全和隐私政策。最后一个潜在的挑战是通过确保系统理解正在集成的数据的含义并分析访问和使用策略来帮助产生可靠和有用的结果。对于某些领域,如健康信息学和临床研究,解决这些问题将对社会产生重大影响。本项目通过为关联的医疗保健数据开发符合策略的集成系统,探索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、模式和策略建模,根据内容将查询联合到独立的关联数据存储,通过修改不兼容的查询提供策略实施,并使用正式方法保证关键组件的正确性。该项目提供了解决21世纪社会面临的最重要问题之一的新方法:在尊重安全性、隐私性和使用需求的同时,从分布式链接数据的集成中受益。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提供给其他人。
英文摘要
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.
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