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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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Proceedings Article

Amber: decoupling user data from web applications

TL;DR: Amber is proposed, an architecture that decouples users' data from applications, while providing applications with powerful global queries to find user data and enables a new class of applications by removing the artificial partitioning of users'Data by application.
Proceedings ArticleDOI

Semantic interoperation via intelligent mediation

X. Qian
TL;DR: Instead of a rich multidatabase language, the author advocates a language with minimal representational bias that addresses the critical issues in the semantic interoperation of heterogeneous data.
Journal ArticleDOI

An ontology based approach to the integration of entity-relationship schemas

TL;DR: This work presents algorithms to resolve schematic discrepancies by transforming metadata into the attribute values of entity types, keeping the information and constraints of original schemas.
Book ChapterDOI

SPICE: A Flexible Architecture for Integrating Autonomous Databases to Comprise a Distributed Catalogue of Life

TL;DR: This paper presents the architecture on which SPICE is being built, and explains how, within its SPICE architecture, it will be able to explore and develop new techniques to enhance access to the SPICE distributed database.
Journal ArticleDOI

A comprehensive database schema integration method based on the theory of formal concepts

TL;DR: The GIM (Generic Integration Model) method is based on the elegant and mathematically founded theory of formal concept analysis (FCA) and applies an FCA-algorithm to semi-automatically derive a concept lattice which is interpreted as an inheritance hierarchy of classes for a homogenized schema.
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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