CAREER: Efficient Management of Web Data

本研究项目的目标是使管理成为可能。该项目解决了四个XML数据管理任务：从关系数据库发布XML，通过Internet传输XML数据，存储大量的XML数据，以及流处理XML数据。为了在Web上高效地完成XML数据发布，指定了从关系数据库到XML的声明性映射。该项目开发了将视图上的XML查询高效地转换回关系数据库上的SQL查询的技术。对于XML传输，该项目创建了利用给定XML数据实例中的模式和数据类型的新压缩技术。今天，很难在关系数据库系统中存储XML数据，因为XML与关系模型有很大的不同。该项目创建了将XML数据以最佳方式拆分成由关系数据库系统管理的关系的新方法。最后，该项目开发了轻量级的XML查询处理方法，提供了一套简单的XML转换工具，可以组合到执行复杂处理的管道中。该项目将产生几个软件工具，并将在公共领域提供，预计将对研究界和该行业产生影响。这项研究项目的部分内容将纳入华盛顿大学正在开设的数据库课程。

The goal of this research project is to enable the manag. The project addresses four XML data management tasks: XML publishing from relational databases, transport of XML data over the Internet, storage of large amounts of XML data, and stream processing XML data.ement of XML data on the Web to be done efficiently In XML publishing, a declarative mapping is specified from a relational database to XML. The project develops techniques for efficiently translating XML queries on the view back into SQL queries on the relational database. For XML transport, the project creates new compression techniques that exploit patterns and datatypes in a given XML data instance. Today, it is difficult to store XML data in a relational database system, because XML differs radically from the relational model. This project creates new methods for splitting XML data optimally into relations to be managed by a relational database system. Finally, the project develops alight-weight XML query processing method, by providing a set of tools for simple XML transformations that can be combined into pipelines performing complex processing. Several software tools will result from this project, and will be made available in the public domain, with an expected impact both on the research community and on the industry. Parts of this research project will be integrated in the database course being offered at the University of Washington.