ITR: (ASE+NHS) - (int+dmc): Constraint-based Knowledge Systems for Grids, Digital Libraries, and Persistent Archives

ITR：（ASE NHS）-（int dmc）：用于网格、数字图书馆和持久档案的基于约束的知识系统

• 批准号: 0427196
• 负责人: Reagan Moore
• 金额: --
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0427196&HistoricalAwards=false
• 关键词: ITR; ASE+NHS; int+dmc; Constraint; based

The management of massive amounts of data, whether in scientific collections, education curricula repositories, or persistent archives, is an essential part of the conduct of science and education. Each type of data management system requires the application of multiple constraints: data sharing (sociological controls on group interactions, access controls), data display (transformative migrations of content, group specific view mechanisms), data federation (consistency management) and data control (data placement, data synchronization). The constraints may be organized in a hierarchy as global constraints, rule-based object constraints, and process based transformative constraints. This project investigates the specification of constraint granularity, the implementation of constraint languages, and the development of data management systems that support dynamic constraint specification and application. The software is based on the Storage Resource Broker data grid technology that supports federation of digital libraries and scientific collections across academic institutions.The broader impact of the project will be the development of adaptive middleware technologies for distributed data management. Examples include the addition of services to grid environments that preserve consistent metadata management, the addition of services to digital library systems that validate new metadata attributes for new collections, and the addition of services to preservation environments that manage authenticity of archived material. Our goal is to create generic distributed data management infrastructure that can be used at the institution level, within national scale projects such as NSF Information Technology Research efforts, and within international academic collaborations such as the Worldwide Universities Network.

管理大量数据，无论是科学收藏、教育课程库还是永久档案，都是开展科学和教育的重要组成部分。每种类型的数据管理系统都需要应用多种约束：数据共享（对群体互动的社会学控制、访问控制）、数据显示（内容的变革性迁移、群体特定视图机制）、数据联合（一致性管理）和数据控制（数据放置、数据同步）。 约束可以在层级中被组织为全局约束、基于规则的对象约束和基于过程的变换约束。 本计画主要研究动态约束粒度的规范、动态约束语言的实现，以及动态约束规范与应用的数据管理系统的开发。该软件基于存储资源代理数据网格技术，支持跨学术机构的数字图书馆和科学收藏的联合。该项目的更广泛影响将是开发用于分布式数据管理的自适应中间件技术。例如，在网格环境中添加服务以保持一致的元数据管理，在数字图书馆系统中添加服务以验证新收藏的新元数据属性，以及在保存环境中添加服务以管理归档材料的真实性。我们的目标是创建通用的分布式数据管理基础设施，可以在机构级别使用，在国家级项目（如NSF信息技术研究工作）中使用，以及在国际学术合作（如全球大学网络）中使用。