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Journal ArticleDOI

Federated database systems for managing distributed, heterogeneous, and autonomous databases

Amit P. Sheth, +1 more
- 01 Sep 1990 - 
- Vol. 22, Iss: 3, pp 183-236
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TLDR
In this paper, the authors define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed, and define a methodology for developing one of the popular architectures of an FDBS.
Abstract
A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.

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Citations
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Journal ArticleDOI

SchemaSQL: An extension to SQL for multidatabase interoperability

TL;DR: A principled extension of SQL, called SchemaSQL, that offers the capability of uniform manipulation of data and schema in relational multidatabase systems and describes an architecture for the implementation and develops implementation algorithms based on available database technology that allows for powerful integration of SQL based relational DBMS.
Journal ArticleDOI

ObjectGlobe: Ubiquitous query processing on the Internet

TL;DR: The ObjectGlobe security requirements are discussed, how basic components such as the optimizer and runtime system need to be extended are shown, and the results of performance experiments that assess the additional cost for secure distributed query processing are presented.
Journal ArticleDOI

Contribution of ontology-based data modeling to automatic integration of electronic catalogues within engineering databases

TL;DR: This paper presents an ontology-driven integration approach called a priori approach that ensures the automation of the integration process when all sources reference a shared ontology, and possibly extend it by adding their own concept specializations.
Book

Context Knowledge Representation and Reasoning in the Context Interchange System

TL;DR: The Context Interchange Project presents a unique approach to the problem of semantic conflict resolution among multiple heterogeneous data sources, which presents a semantically meaningful view of the data to the receivers for all the available data sources.
Journal ArticleDOI

Data manipulation in heterogeneous databases

TL;DR: To solve the problem in interdatabase data manipulation within a heterogeneous environment, a broader definition for join operator is proposed and a method to probabilistically estimate the accuracy of the join is discussed.
References
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Book

The entity-relationship model: toward a unified view of data

TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
Book

Fundamentals of Database Systems

TL;DR: Fundamentals of Database Systems combines clear explanations of theory and design, broad coverage of models and real systems, and excellent examples with up-to-date introductions to modern database technologies.
Book

An Introduction to Database Systems

C. J. Date
TL;DR: Readers of this book will gain a strong working knowledge of the overall structure, concepts, and objectives of database systems and will become familiar with the theoretical principles underlying the construction of such systems.
Book

Principles of Distributed Database Systems

TL;DR: This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels and concentrates on fundamental theories as well as techniques and algorithms in distributed data management.
Journal ArticleDOI

A comparative analysis of methodologies for database schema integration

TL;DR: The aim of the paper is to provide first a unifying framework for the problem of schema integration, then a comparative review of the work done thus far in this area, providing a basis for identifying strengths and weaknesses of individual methodologies, as well as general guidelines for future improvements and extensions.
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