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
Smart monitoring of the criminal justice system
TL;DR: A case study of a data space system that facilitates the monitoring of data flows within as well as between organizations involved in the Dutch criminal justice system and shows that it has an added value in improving policy monitoring and accountability.
Quality Aware Service Oriented Ontology Based Data Integration
TL;DR: This paper proposes Service Oriented Data Integration with Quality of Service (SODI-QoS) architecture, which provides high-quality data results to the end-user and notification about the incompleteness and inaccuracy of the source is communicated to respective data sources.
Proceedings ArticleDOI
Facilitating transformations in a human genome project database
TL;DR: A new approach to a solution for Human Genome Project database problems is described by means of a deductive language for expressing database transformations and constraints.
Virtualization of Heterogeneous Data Sources for Grid Information Systems
TL;DR: This paper describes the data integration system based on the wrappermediator approach – namely the Grid Data Mediation Service – of the GridMiner project conducted in Vienna, and develops a flexible mapping schema to describe the building process of a virtual data source.
Proceedings ArticleDOI
A methodology for interschema relationship identification in heterogeneous databases
V. Ramesh,Sudha Ram +1 more
TL;DR: This paper presents a methodology for utilizing schematic as well as integrity constraint knowledge for IRI, and presents the details of a comprehensive set of heuristics for schematic IRI.
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
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
M. Tamer zsu,Patrick Valduriez +1 more
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.