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
Citations
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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
Query optimization for CODASYL database systems
Umeshwar Dayal,Nathan Goodman +1 more
TL;DR: This paper identifies a class of queries for which efficient programs can be synthesized, and develops a model for estimating the cost of executing a program, and uses this model to find the optimal strategy for processing a given query.
Book ChapterDOI
Unsolvable Problems Related To The View Integration Approach
TL;DR: This paper presents a method that should help to manage the complexity of design problems for extensive database applications with many different user groups by integrating a global scheme that is able to support all views.
Book ChapterDOI
Views and Security in Distributed Database Management Systems
Elisa Bertino,Laura M. Haas +1 more
TL;DR: Some issues concerning Distributed Database security and the design of distributed views providing security features are discussed and the following issues concerning views are discussed: represention, change, authorization, and usage.
On Database Management System Architecture.
Michael Hammer,Dennis McLeod +1 more
TL;DR: It is argued that the concept of an integrated database ought to be supplanted by that of a federated database, a loose assembly of semi-independent components, and controlled logical redundancy in the schema is introduced as a means of improving the usability of a database and of enhancing its life-cycle performance.