A relational–XML data warehouse for data aggregation with SQL and XQuery

Integrating information from multiple data sources is becoming increasingly important for enterprises that partner with other companies for e‐commerce. However, companies have their internal business applications deployed on diverse platforms and no standard solution for integrating information from these sources exists. To support business intelligence query activities, it is useful to build a data warehouse on top of middleware that aggregates the data obtained from various heterogeneous database systems. Online analytical processing (OLAP) can then be used to provide fast access to materialized views from the data warehouse. Since extensible markup language (XML) documents are a common data representation standard on the Internet and relational tables are commonly used for production data, OLAP must handle both relational and XML data. SQL and XQuery can be used to process the materialized relational and XML data cubes created from the aggregated data. This paper shows how to handle the two kinds of data cubes from a relational–XML data warehouse using extract, transformation and loading. Copyright © 2008 John Wiley & Sons, Ltd.     

An analysis of XQuery benchmarks

This paper presents a survey and an analysis of the XQuery benchmark publicly available in 2006—XMach-1, XMark, X007, the Michigan benchmark, and XBench—from different perspectives. We address three simple questions about these benchmarks: How are they used? What do they measure? What can one learn from using them? One focus of our analysis is to determine whether the benchmarks can be used for micro-benchmarking. Our conclusions are based on an usage analysis, on an in-depth analysis of the benchmark queries, and on experiments run on four XQuery engines: Galax, SaxonB, Qizx/Open, and MonetDB/XQuery.     

一种XQuery查询程序自动生成系统的设计与实现

设计并实现了一种XQuery查询程序自动生成系统.为普通用户提供一种界面友好的XQuery查询,有利于XML的进一步推广.     

基于XQuery的数据集成研究

介绍了XML和其查询语言XQuery的基础,提出一个以XQuery为基础的数据集成框架XBD I,该框架屏蔽底层数据源的特性,对异构数据提供虚拟的XML视图。详细介绍了XBD I框架的设计原则及其关键技术,对和框架实现密切相关的中介器、数据服务等理论进行了说明。     

一种改进的移动GIS服务渐进查询方法

无线网络和移动终端固有的缺陷和局限性、GIS数据本身的特殊性阻碍了移动GIS服务的应用。针对该问题提出一种应用于移动GIS服务的渐进查询方法,给出相应的数据结构。实验结果证明,该查询方法可以缩短处理时间、提高数据传输效率。     

Developing an efficient query system for encrypted XML documents

XQuery is a query and functional programming language that is designed for querying the data in XML documents. This paper addresses how to efficiently query encrypted XML documents using XQuery, with the key point being how to eliminate redundant decryption so as to accelerate the querying process. We propose a processing model that can automatically translate the XQuery statements for encrypted XML documents. The implementation and experimental results demonstrate the practicality of the proposed model.     

一种关系模式下转换XML文档查询的有效方法*

在用关系数据库进行存储和管理XML数据的系统中,将XQuery查询语句转换为相应的SQL查询语句是一个重要的挑战。且由于这种转换依赖于关系模式生成技术,这就要求各种生成技术构造自己的查询处理器。该方法使得SilkRoute算法适用于更多的技术,并针对存取XML顺序信息的需求,改进了SilkRoute中的数据结构和算法,使之能正确转换基于顺序信息的XQuery查询。     

一种基于XQuery的查询分解算法

针对查询分解算法查询的局限性和较低的查全率,提出了一种基于本体XQuery语言FWR表达式的查询分解算法．该算法利用XQuery全局查询语句,以FWR表达式的3项操作（构造查询范围、子查询条件和子查询输出属性集）将基于全局本体的查询分解到针对局部本体的子查询,能够降低查询分解的复杂性、保证查询的语义完整性,并能提高查全率．通过实例进行具体分析,验证了算法的有效性．     

XML查询的推理审计

XML文档作为一种网上信息交换方式,其应用越来越广泛．信息发布的安全性给数据库带来新的挑战,目前一些安全策略以法律条文形式颁布,这要求采用有效的手段证实对XML文档的访问与安全策略的一致性．审计能达到这样的目的,但已有的审计方法只能对SQL查询结果进行审计,不能对XML文档查询——XQuery或Xpath进行审计,且蓄意破坏的用户可能通过对查询结果进行推理来访问敏感信息,这就要求对XQuery的审计必然同时具备推理能力．对此,首先提出了可靠而可行的XQuery审计方法、算法及相应查询图模型（QGM）;为使审计具备基本的推理能力,针对XML文档的几种典型约束,给出了推理审计方法、算法及相应查询图模型;实验结果表明,给出的XML查询推理审计框架切实可行．     

XQuery Web搜索系统的设计与实现

随着Web技术的发展，越来越多的信息需要通过DeepWeb来获取，本文提出一种基于XPath的Web搜索系统的设计方法，它通过采集URL目标，分析目标Web结构，达到积累页面的目的。