ITR-Promoting Semantic Interoperability of Metadata for Directories of the Future

ITR - 促进未来目录元数据的语义互操作性

• 批准号: 0312636
• 负责人: Vijay Vaishnavi
• 金额: $ 24万
• 依托单位: Georgia State University Research Foundation, Inc.
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312636&HistoricalAwards=false
• 关键词: ITR; Promoting; Semantic; Interoperability; Metadata

Directories provide a well-defined, general mechanism for describing enterprise resources within an organization and enabling their discovery by individuals and applications. LDAP (Lightweight Directory Access Protocol) directory services enable data sharing by defining both the metadata (schema information) and an access protocol. While such directory enabled services can be provided within an organization, offering or accessing these services beyond the home organization requires significant coordination of directory architectures and standards for directory metadata.This research investigates an alternative to current approaches to enabling interoperability of directory metadata. The research is based on the proposition that monitoring, clustering, and appropriate visualization of cross-organizational metadata can help identify patterns of practice and evolving standards, and promote and facilitate the reuse of such metadata, which in turn can lead to automatic, dynamic evolution of standards. Solutions are developed for automated clustering of metadata at a level matching human expertise, employing such techniques as Self-Organizing Maps and Latent Semantic Analysis/Latent Semantic Indexing, optimized using genetic algorithms. The solutions are experimentally validated. Visualization of metadata is prototyped.The research is expected to contribute to enhancing interoperation, semantic resolution, standards evolution, and management of directory metadata that is fundamental for effective inter-organizational collaboration and access to data, applications and resources that are deployed on the World Wide Web. The results of the research will be disseminated through conference and journal publications, and through a project Web site.

目录提供了一种定义良好的通用机制，用于描述组织内的企业资源，并允许个人和应用程序发现这些资源。 LDAP（轻量级目录访问协议）目录服务通过定义元数据（模式信息）和访问协议来实现数据共享。 虽然这样的目录启用服务可以在一个组织内提供，提供或访问这些服务以外的家庭organization.This研究需要显着的协调的目录体系结构和标准的目录metadata.This的替代方案，目前的方法，使目录元数据的互操作性。 该研究是基于这样一个命题，即跨组织元数据的监测、聚类和适当的可视化可以帮助识别实践模式和不断发展的标准，并促进和促进这些元数据的重用，这反过来又可以导致标准的自动、动态发展。 解决方案的开发自动聚类的元数据在匹配人类的专业知识的水平，采用自组织地图和潜在语义分析/潜在语义索引，使用遗传算法优化等技术。 实验验证的解决方案。 元数据的可视化是prototyped.The研究预计将有助于提高互操作性，语义解析，标准的演变，和目录元数据的管理，是有效的组织间协作和访问部署在万维网上的数据，应用程序和资源的基础。 研究结果将通过会议和期刊出版物以及项目网站传播。