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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

A survey of approaches to automatic schema matching

TL;DR: A taxonomy is presented that distinguishes between schema-level and instance-level, element- level and structure- level, and language-based and constraint-based matchers and is intended to be useful when comparing different approaches to schema matching, when developing a new match algorithm, and when implementing a schema matching component.
Journal ArticleDOI

Federated Machine Learning: Concept and Applications

TL;DR: This work introduces a comprehensive secure federated-learning framework, which includes horizontal federated learning, vertical federatedLearning, and federated transfer learning, and provides a comprehensive survey of existing works on this subject.
Journal ArticleDOI

Data fusion

TL;DR: This article places data fusion into the greater context of data integration, precisely defines the goals of data fusion, namely, complete, concise, and consistent data, and highlights the challenges of data Fusion.
Journal ArticleDOI

Query evaluation techniques for large databases

TL;DR: This survey describes a wide array of practical query evaluation techniques for both relational and postrelational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set-matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.
Journal ArticleDOI

Ontology mapping: the state of the art

TL;DR: Ontology mapping is seen as a solution provider in today's landscape of ontology research as mentioned in this paper and provides a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners.
References
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Proceedings ArticleDOI

The future of heterogeneous databases

TL;DR: The work has shown that a new, and what the authors believe the right, approach to the heterogeneous database system design has emerged, and this approach is as follows: with respect to the system level one should stick to the OSI model standard protocols.
Book ChapterDOI

A Multidatabase System for Transnational Accounting

TL;DR: In a project supported by the CEC in the ~ulti ~nnual [rogram a transaction oriented system is under development that integrates worldwide distributed autonomous databases into a multidatabase system (MDBS) where the constituting database systems might be of different type and are based on different data models.
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