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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

Explication and semantic querying of enterprise information systems

TL;DR: This paper defines and implements a method for explication of the systems’ implicit semantics, and describes an associated method for the translation between semantic and SQL queries, a process in which implicit semantics of the EIS’s databases and explicit semantics ofThe local ontologies become interrelated.
Proceedings ArticleDOI

Genomic Data Integration: A Case Study on Next Generation Sequencing of Cancer

TL;DR: This work integrates RNA-seq and DNA-methylation experiments and performs a supervised classification analysis of NGS data extracted from The Cancer Genome Atlas, and is able to distinguish successfully the tumoral samples from the normal ones and to extract reliable rule-based classification models that contain salient features.

Towards a Framework for the Transferability of Results in IS Qualitative Research

TL;DR: This article draws on the constituents of structure proposed by Giddens to suggest common features of the research setting and develops a framework of four pure "structural configurations" that may be a first approximation to typifying the setting in which IS phenomena occur.
Book ChapterDOI

Version propagation in federated database systems

TL;DR: It is concluded that the customisation overhead is inevitable for any general solution bridging highly heterogeneous versioning models.
Journal ArticleDOI

A formal framework for query decomposition and knowledge integration in data warehouse federations

TL;DR: This paper presents a formal framework for data and knowledge processing in data warehouse federations, and proposes a model for query decomposition process and knowledge integration.
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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