Hierarchic Database Structures for Implementing Taxonomic Database Systems

用于实现分类数据库系统的分层数据库结构

• 批准号: 9021656
• 负责人: Sakti Pramanik
• 金额: $ 16.35万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-07-01 至 1995-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9021656&HistoricalAwards=false
• 关键词: Hierarchic; Database; Structures; Implementing; Taxonomic

The primary focus of this research is to process taxonomic data as they relate to the taxonomic hierarchy and to biological classifications. Information-processing models will be developed for such important issues as interactions between classifications, efficient representation of classifications in a shared and distributed environment, common frameworks for developing the taxonomic hierarchy across disciplines, and various query- processing strategies for hierarchic taxonomic databases. These information-processing models will lead to the development of a conceptual framework for designing and implementing databases for taxonomic information. A prototype taxonomic database system will be built on the foundation of these new concepts. Recursive relation structure and a new idea on defining views for recursive relations will facilitate the implementation approach.

这项研究的主要重点是处理分类数据， 它们涉及到分类学等级和生物学 分类。 将开发信息处理模型 对于分类之间的相互作用等重要问题， 在一个共享的， 分布式环境，开发 跨学科分类层次结构和各种查询- 层次分类数据库的处理策略。 这些 信息处理模型将导致一个 设计和实施数据库的概念框架 分类信息 一个原型分类数据库系统将 建立在这些新概念的基础上。 递归 关系结构和递归视图定义的新思想 这种关系将促进执行办法。