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 web-enabled PDM system in a collaborative design environment
X William Xu,Tony Liu +1 more
TL;DR: It is found in this research that a multi-tiered, collaborative environment with advanced Web technologies is well suited for a PDM system to operate in.
Journal ArticleDOI
Bridging Ontologies and Conceptual Schemas in Geographic Information Integration
TL;DR: This paper proposes a way to link the formal representation of semantics (i.e., ontologies) to conceptual schemas describing information stored in databases, and explains a mapping between a spatial ontology and a geographic conceptual schema.
Journal ArticleDOI
Managing scientific metadata
TL;DR: Metacat is a network-enabled database framework that lets users store, query, and retrieve XML documents with arbitrary schemas in SQL-compliant relational database systems and incorporates RDF-like methods for packaging data sets to allow researchers to customize and revise their metadata.
Journal ArticleDOI
Semantic vs. structural resemblance of classes
TL;DR: To compute thesemantic similarity of classes which utilized fuzzy and incomplete terminological and schema knowledge, the notion ofsemantic relevance is introduced and fuzzy set theory is applied to reason about both terminological knowledge and schemaknowledge.
Proceedings Article
A Data Transformation System for Biological Data Sources
TL;DR: Techniques for querying and transforming scientific data in structured files maintained in a number of different formats are presented and their use in a prototype system developed in conjunction with the Human Genome Center for Chromosome 22.
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.