基于元模型的XML Schema到UML类图的转换

依据XML Schema文档以及XMI规范定义了与转换相关的XML Schema的元模型,并建立了它和UML元模型之间的映射关系,在此基础上提出了基于XMI和OCL的转换规则,对转换空间进行了分析,并且结合实例进行了说明。     

面向XML的SNMP MIB数据转换模式研究

MIB是SNMP网络管理的主体,传统的MIB编译方法缺乏管理扩展的灵活性和有效性。基于MIB描述规范SMI和XML Schema语法特征分析,研究SMI到XML Schema的MIB数据转换模式;综合XML数据交换和脚本语言编程,提出一种支持SMI到XML Schema映射的SNMP MIB数据转换器实现架构,并对其在网络管理中提供MIB数据转换的优势进行详细说明。     

一种XML Schema模式到关系模式的映射算法

XML文档数据如何存储在主流的关系数据库中，对企业信息集成起着至关重要的作用。针对此问题，提出一种XML Schema模式到关系模式的约束保留映射算法——XSD2RS，该算法基于模式对象组件建模和约束保留机制来完成XML Schema模式到关系模式的映射，进而实现XML文档数据在关系数据库中的存储。     

基于Schema的XML关系存储策略研究

研究了基于XML Schema的XML数据关系化存储策略,给出了一种基于Schema从XML到关系数据库的模式映射方法.以XML Schema文档作为输入,通过分析将它转换为一个包含XML Schema中组件信息的语义图;然后把XML Schema图内联;最后由内联图生成关系模式.     

一种UML模型到XML模型的转换方法

为了把UML模型用XML描述出来,可以从模型转换的角度来考虑这个问题,把XML描述结果当作XML模型考虑。利用集合的概念定义了一个UML源模型,并用构造树的形式描述了UML基本模型元素的结构。根据构造树的描述定义目标XML模型的XML Schema。提出了一种基于对模型元素实例集合的扫描和对模型元素构造树遍历的方法来进行UML模型到XML模型的自动转换。     

一种UML模型到XML模型的转换方法

为了把UML模型用XML描述出来，可以从模型转换的角度来考虑这个问题，把XML描述结果当作XML模型考虑。利用集合的概念定义了一个UML源模型，并用构造树的形式描述了UML基本模型元素的结构。根据构造树的描述定义目标XML模型的XML Schema。提出了一种基于对模型元素实例集合的扫描和对模型元素构造树遍历的方法来进行UML模型到XML模型的自动转换。     

基于XML规范的电子病历应用模型XBEPRAM的设计和建立

主要运用XML规范 ,提出了具有实际应用意义的电子病历应用模型 (XBEPRAM)。模型扩展了XML的平台无关性概念 ,强调应用系统的应用逻辑和实现的分离 ;利用XML构筑电子病历的数据结构 ,加强异构系统的集成性 ;根据XML应用的最新进展 ,提出了可操作XML扩充服务 (EXMLES)和非操作XML扩充服务 (UXMLES)的扩充服务概念及构筑扩充服务的四条基本原则 ,为模型实现基于XML组件的分布式应用模式构建了理论框架。     

一个基于XML的电子病历应用模型的设计和实现

本文主要运用基于XML的电子病历应用模型(XBEPRAM)，讨论了其可操作XML扩充服务(EXMLES)和非操作XML扩充服务(UXMLES)的扩充服务概念，并在模型的指导下，使用XML远程进程调用方法(XML—RPC)成功地进行了基于EXMLES的模型分布式服务扩充的实现，说明了一种可用较为简便的方法实现复杂的分布式应用形式。     

基于XML和JMS的异构数据交换集成的研究

随着企业信息化不断深入,对于异构数据集成的要求越来越迫切。为此提出了一种异构数据交换集成的模型。首先构造异构数据库的元数据的模式XML Schema,并建立元数据与XML Schema间的映射,将异构数据表示成XML形式,使用JMS技术完成系统间XML的传输,再根据本地数据库的元数据与XML Schema的映射将XML中的数据转化为本地数据库可用数据,从而较好地解决了异构数据集成和交换的问题。     

基于XML Schema与扩展的UML建模算法的设计

主要研究扩展的UML与XML Schema的建模方法,并设计一种基于XML Schema到扩展的UML的建模算法。利用该法,开发基于XML文档后勤管理系统。     

一种XML概念模型-XUML

由于XML已成为Web上表示结构化和半结构化数据的标准。设计XML模式的方法变得更加重要。为了设计或集成XML模式，常常需要基于合适的概念模型。本文分析了对XML概念模型的需求；提出了一种新的XML概念模型：XUML，并说明了XUML的主要特征和优点：能更明确地表示“包含”语义，支持“业务组件”概念，能在多级上下文中说明数据依赖，基于UML2标准；最后结合实例介绍了一种实现XUML的方法。     

基于XML的多维概念模型的研究

对于数据仓库概念模型的研究,目前缺乏统一的标准,不利于模型的交流与共享。基于XML的多维概念模型利用XML这一标准交换语言,不仅很好地解决了这一问题,而且也为元数据的集成与共享打下了基础。针对多维模型的特点,定义了一个特定的DTD,它能够完整地描述多维概念模型的各种语义特征,并针对基于UML的多维概念建模方法,定义了基于XML的多维概念模型与基于UML类图的多维概念模型的映射方法,为其应用奠定了实践基础。     

Fuzzy XML data modeling with the UML and relational data models

Information imprecision and uncertainty exist in many real-world applications and for this reason fuzzy data modeling has been extensively investigated in various data models. Currently, huge amounts of electronic data are available on the Internet, and XML has been the de facto standard of information representation and exchange over the Web. This paper focuses on fuzzy XML data modeling, which is mainly involved in the representation model of the fuzzy XML, its conceptual design, and its storage in databases. Based on “possibility distribution theory”, we developed this fuzzy XML data model. We developed this fuzzy UML data model to design the fuzzy XML model conceptually. We investigated the formal conversions from the fuzzy UML model to the fuzzy XML model and the formal mapping from the fuzzy XML model to the fuzzy relational databases.     

Converting XML DTDs to UML diagrams for conceptual data integration

Extensible Markup Language (XML) is fast becoming the new standard for data representation and exchange on the World Wide Web, e.g., in B2B e-commerce. Modern enterprises need to combine data from many sources in order to answer important business questions, creating a need for integration of web-based XML data. Previous web-based data integration efforts have focused almost exclusively on the logical level of data models, creating a need for techniques that focus on the conceptual level in order to communicate the structure and properties of the available data to users at a higher level of abstraction. The most widely used conceptual model at the moment is the Unified Modeling Language (UML).

This paper presents algorithms for automatically constructing UML diagrams from XML DTDs, enabling fast and easy graphical browsing of XML data sources on the web. The algorithms capture important semantic properties of the XML data such as precise cardinalities and aggregation (containment) relationships between the data elements. As a motivating application, it is shown how the generated diagrams can be used for the conceptual design of data warehouses based on web data, and an integration architecture is presented. The choice of data warehouses and On-Line Analytical Processing as the motivating application is another distinguishing feature of the presented approach.     

基于UML的XML建模方法

针对由业务模型直接定义XML Schema存在较多的困难，提出了一种把UML技术用于XML Schema建模的方法。该方法通过领域建模定义了3层模型，即概念层模型、逻辑层模型和实现层模型，分别对应于业务模型的分析、设计及实现阶段，并对各层模型之间的转换方法进行了有效的探讨。     

Evolution of XML schemas and documents from stereotyped UML class models: A traceable approach

Context

UML and XML are two of the most commonly used languages in software engineering processes. One of the most critical of these processes is that of model evolution and maintenance. More specifically, when an XML schema is modified, the changes should be propagated to the corresponding XML documents, which must conform with the new, modified schema.

Objective

The goal of this paper is to provide an evolution framework by which the XML schema and documents are incrementally updated according to the changes in the conceptual model (expressed as a UML class model). In this framework, we include the transformation and evolution of UML profiles specified in UML class models because they are widely used to capture domain specific semantics.

Method

We have followed a metamodeling approach which allowed us to achieve a language independent framework, not tied to the specific case of UML-XML. Besides, our proposal considers a traceability setting as a key aspect of the transformation process which allows changes to be propagated from UML class models to both XML schemas and documents.

Results

As a general framework, we propose a Generic Evolution Architecture (GEA) for the model-driven engineering context. Within this architecture and for the particular case of the UML-to-XML setting, our contribution is a UML-to-XML framework that, to our knowledge, is the only approach that incorporates the following four characteristics. Firstly, the evolution tasks are carried out in a conceptual model. Secondly, our approach includes the transformation to XML of UML profiles. Thirdly, the proposal allows stereotyped UML class models to be evolved, propagating changes to XML schemas and documents in such a way that the different elements are kept in synch. Finally, we propose a traceability setting that enables evolution tasks to be performed seamlessly.

Conclusions

Generic frameworks such as that proposed in this paper help to reduce the work overload experienced by software engineers in keeping different software artifacts synchronized.     

Specifying OLAP Cubes on XML Data

On-Line Analytical Processing (OLAP) enables analysts to gain insight about data through fast and interactive access to a variety of possible views on information, organized in a dimensional model. The demand for data integration is rapidly becoming larger as more and more information sources appear in modern enterprises. In the data warehousing approach, selected information is extracted in advance and stored in a repository, yielding good query performance. However, in many situations a logical (rather than physical) integration of data is preferable. Previous web-based data integration efforts have focused almost exclusively on the logical level of data models, creating a need for techniques focused on the conceptual level. Also, previous integration techniques for web-based data have not addressed the special needs of OLAP tools such as handling dimensions with hierarchies. Extensible Markup Language (XML) is fast becoming the new standard for data representation and exchange on the World Wide Web. The rapid emergence of XML data on the web, e.g., business-to-business (B2B) e-commerce, is making it necessary for OLAP and other data analysis tools to handle XML data as well as traditional data formats.Based on a real-world case study, this paper presents an approach to specification of OLAP DBs based on web data. Unlike previous work, this approach takes special OLAP issues such as dimension hierarchies and correct aggregation of data into account. Also, the approach works on the conceptual level, using Unified Modeling Language (UML) as a basis for so-called UML snowflake diagrams that precisely capture the multidimensional structure of the data. An integration architecture that allows the logical integration of XML and relational data sources for use by OLAP tools is also presented.     

XML Schema Modeling through UML Class Diagram

A three-step XML Schema modeling method is presented, namely first establishing a diagram of conceptual modeling, then transforming it to UML class diagram and finally mapping it to XML Schema. A case study of handling furniture design data is given to illustrate the detail of conversion process.