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Dynamic meta-data support for information integration and sharing across heterogeneous databases.

机译:动态元数据支持跨异构数据库的信息集成和共享。

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摘要

In a multidatabase environment, meta-data plays a more important role than in a single database environment. The federated database system manipulates data from several data sources. Users hardly have enough knowledge about the underlying meaning of the global schema. Meta-data describes the data semantic information that can help users to interpret the data. It provides necessary information for both query processing and data integration in a federated database system. However, traditional data modeling techniques such as relational data model and semantic data model are not designed to support efficiently the definition, storage and manipulation of complex meta-data.; The dissertation investigates on how the schema of the data model can be extended to support the meta-data, how this meta-data can enhance the semantics of a database schema, support data integration and mediation services, and facilitate query processing in a federated database system. The dissertation develops the Mediation Data Model. The Mediation Data Model provides an extensible schema that supports the dynamic meta-data, and a framework for specifying mediation services within the data model. The dynamic meta-data describes different types of data semantic information, in addition to the traditional static meta-data. The dynamic meta-data allows each instance object of a class to have associated with it distinct meta-data, whereas static meta-data assigns the same meta-data to an entire class rather than instances of a class. The Mediation Data Model provides the association of multiple unit values to an instance of a data type. The concept of Multiple Unit Value (MUV) is implemented by means of the Unit-type Dynamic Meta-Data, the Unit Value Mediator and the extended DML. The MUV concept allows object attributes to have values expressed in convertible units.; The dissertation also develops the federated database system architecture and a working prototype, called InfoFED. InfoFED makes use of the Mediation Data Model as a common data model to provide the self-describing data as well as an intelligent data manipulation language to users, and to improve data integration by reducing the schema integration conflicts. InfoFED also provides a browser for both data and meta-data, an object-oriented federated schema, and the data source registration and management.
机译:在多数据库环境中,元数据比在单个数据库环境中起着更重要的作用。联邦数据库系统处理来自多个数据源的数据。用户几乎不了解全局模式的基本含义。元数据描述了可以帮助用户解释数据的数据语义信息。它为联合数据库系统中的查询处理和数据集成提供了必要的信息。然而,诸如关系数据模型和语义数据模型之类的传统数据建模技术并未设计为有效地支持复杂元数据的定义,存储和操纵。本文研究了如何扩展数据模型的架构以支持元数据,该元数据如何增强数据库架构的语义,支持数据集成和中介服务以及促进联合数据库中的查询处理系统。本文开发了中介数据模型。中介数据模型提供了支持动态元数据的可扩展模式,以及用于在数据模型内指定中介服务的框架。除了传统的静态元数据之外,动态元数据还描述了不同类型的数据语义信息。动态元数据允许类的每个实例对象与它关联的不同元数据,而静态元数据将相同的元数据分配给整个类而不是类的实例。中介数据模型提供了多个单位值与数据类型实例的关联。多单元值(MUV)的概念是通过单元类型的动态元数据,单元值介体和扩展的DML来实现的。 MUV概念允许对象属性具有以可转换单位表示的值。论文还开发了联邦数据库系统体系结构和工作原型,称为InfoFED。 InfoFED利用中介数据模型作为通用数据模型为用户提供自描述数据以及智能数据操作语言,并通过减少架构集成冲突来改善数据集成。 InfoFED还提供用于数据和元数据的浏览器,面向对象的联合架构以及数据源注册和管理。

著录项

  • 作者

    Phijaisanit, Wiput.;

  • 作者单位

    George Mason University.;

  • 授予单位 George Mason University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

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