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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Metadatabase Modeling for Enterprise Information Integration
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On the definition of generic multi-layered ontologies for urban applications
TL;DR: The objective of this work is to define a spatial ontology to describe key features of urban applications, providing a foundation for semantic reconciliation among heterogeneous spatial information sources.
Journal ArticleDOI
InterViso: dealing with the complexity of federated database access
TL;DR: InterViso, one of the first commercial federated database products, is discussed, which provides a value added layer above connectivity products to handle views across databases, schema translation, and transaction management.
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Context interchange: representing and reasoning about data semantics in heterogeneous systems
TL;DR: This paper presents a formal characterization and reconstruction of this strategy in a COIN framework, based on a deductive object-oriented data model and language called COIN, and shows that this presents a well-founded basis for reasoning about semantic disparities in heterogeneous systems.
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Data Mining Tools for Malware Detection
TL;DR: Data Mining Tools for Malware Detection provides a step-by-step breakdown of how to develop data mining tools for malware detection, focusing on malware detection applications for email worms, malicious code, remote exploits, and botnets.
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.