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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Journal ArticleDOI
Data Integration in Distributed Databases
TL;DR: This paper examines the issues in data integration within a relational context, and proposes a solution based on special relational constructs which produce union-compatible relations.
Proceedings ArticleDOI
A paradigm for concurrency control in heterogeneous distributed database systems
Ahmed K. Elmagarmid,Wenliang Du +1 more
TL;DR: The top-down approach emerges as a viable paradigm for ensuring the proper concurrent execution of global transactions in an HDDBS, and general schemes for local concurrency control with prespecified global serialization orders are presented.
Journal ArticleDOI
Transaction management in distributed heterogeneous database management systems
TL;DR: The goal of the work presented here is to establish the minimum set of modifications to LTMs that allow synchronized retrievals and distributed updates (whenever semantic conflicts can be resolved), and will continue to maintain a high degree of local DBMS autonomy.
Attribute Relationships: An Impediment in Automating Schema Integration
Amit P. Sheth,Sunit K. Gala +1 more
Proceedings ArticleDOI
Node autonomy in distributed systems
H. Garcia-Molina,B. Kogan +1 more
TL;DR: Different facets of autonomy as well as relationships among them are discussed, and how autonomy affects other aspects of distributed computing, including timeliness, correctness, load sharing, data sharing, and data replication are looked into.