Journal ArticleDOI
Federated database systems for managing distributed, heterogeneous, and autonomous databases
Amit P. Sheth,James A. Larson +1 more
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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.read more
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Journal ArticleDOI
A survey of approaches to automatic schema matching
Erhard Rahm,Philip A. Bernstein +1 more
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
Jens Bleiholder,Felix Naumann +1 more
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
An overview of the multidatabase system MRDSM
TL;DR: This work overviews the main HRDStl functionalities and the corresponding implementation teohniques, host of these functionalities are yet unknown to other systems.
Proceedings ArticleDOI
Design of relational views over network schemas
TL;DR: An algorithm is presented for designing relational views over network schemas to support general query and update capability, preserve the information content of the data base and provide independence from its physical organization.
Journal ArticleDOI
Distributed database design methodologies
TL;DR: DATAID-D, a top-down methodology for distribution design, is described, and it is indicated how the methodology is part of a global approach to database design; how to collect the requirements about the distribution of data and applications; and how to progressively build the Distribution of a schema.
Journal ArticleDOI
Optimal Query Processing for Distributed Database Systems
TL;DR: A model is developed for determining the optimal policy for processing a given relational model query, which is a function of selection of sites for processing query operations, sequence of operations, file size, and data reduction functions.