CAREER: Towards Unifying Database Systems and Information Retrieval Systems

职业：统一数据库系统和信息检索系统

• 批准号: 0237644
• 负责人: Jayavel Shanmugasundaram
• 金额: $ 40.68万
• 依托单位: Cornell University
• 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=0237644&HistoricalAwards=false
• 关键词: CAREER; Towards; Unifying; Database; Systems

The goal of this research project is to develop techniques for the unification of database systems and information retrieval systems. The main benefit of this approach is to provide a general data management solution for both structured (database domain) and unstructured (information retrieval domain) data. This goal is achieved by (a) using the XML data model to capture structured, semi-structured, and unstructured data, and (b) supporting both database-style and information retrieval-style queries over XML data. The specific components of the research project are (1) supporting ranked keyword search queries (i.e., information retrieval style queries) over a mix of structured and unstructured XML data, (2) supporting complex structured queries (i.e., database style queries) over semi-structured XML data, and (3) integrating the above two components into a unified data management system. The research ideas are implemented using a prototype database system, evaluated using real and synthetic data sets, and the resulting software is made publicly available. These results will have broad impact in applications to commercial data management systems. Additional information on this project can be obtained from the web site http://www.cs.cornell.edu/database/XML/XML.htm. This research also lays the foundation for the education plan, where the goal is to develop a new curriculum that presents unified data management concepts (as opposed to the standard practice of teaching largely unrelated courses on database systems and information retrieval systems). This goal is achieved by developing new undergraduate and graduate courses dealing with the management of both structured and unstructured data.

该研究项目的目标是开发数据库系统和信息检索系统的统一技术。这种方法的主要好处是为结构化（数据库域）和非结构化（信息检索域）数据提供通用数据管理解决方案。这一目标是通过以下方式实现的：(a) 使用 XML 数据模型捕获结构化、半结构化和非结构化数据，以及 (b) 支持对 XML 数据的数据库样式和信息检索样式查询。该研究项目的具体组成部分是（1）支持对结构化和非结构化 XML 数据混合的排名关键字搜索查询（即信息检索样式查询），（2）支持半结构化查询（即数据库样式查询）。 -结构化的XML数据，以及(3)将以上两个组件集成到统一的数据管理系统中。研究想法是使用原型数据库系统实现的，使用真实和合成数据集进行评估，并且最终的软件是公开的。这些结果将对商业数据管理系统的应用产生广泛的影响。有关该项目的更多信息可以从网站 http://www.cs.cornell.edu/database/XML/XML.htm 获取。这项研究还为教育计划奠定了基础，其目标是开发一门新的课程，提出统一的数据管理概念（而不是教授数据库系统和信息检索系统方面很大程度上不相关的课程的标准做法）。这一目标是通过开发新的本科生和研究生课程来实现的，这些课程涉及结构化和非结构化数据的管理。