Journal ArticleDOI
Federated database systems for managing distributed, heterogeneous, and autonomous databases
Amit P. Sheth,James A. Larson +1 more
TLDR
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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Proceedings ArticleDOI
D4M: Bringing associative arrays to database engines
Vijay Gadepally,Jeremy Kepner,William Arcand,David Bestor,Bill Bergeron,Chansup Byun,Lauren Edwards,Matthew Hubbell,Peter Michaleas,Julie Mullen,Andrew Prout,Antonio Rosa,Charles Yee,Albert Reuther +13 more
TL;DR: The process of building the D4M-SciDB connector is described and the present performance of this connection is described in order to showcase how new databases may be supported by D 4M.
Learning to map between structured representations of data
TL;DR: This dissertation describes three systems that deal with successively more expressive data representations and mapping classes that incorporate multiple types of knowledge and multiple machine learning techniques into all stages of the mapping process, with the goal of maximizing mapping accuracy.
Heterogeneous Active Agents
TL;DR: This paper defines several successively more sophisticated and epistemically satisfying declarative semantics for agent programs, and study the computation price to be paid (in terms of complexity) for such epistemic desiderata.
LOM: A Lexicon-based Ontology Mapping Tool
TL;DR: LOM is a semi-automatic lexicon-based ontology-mapping tool that supports a human mapping engineer with a first-cut comparison of ontological terms between the ontologies to be mapped, based on their lexical similarity.
Journal ArticleDOI
Discovery of Web Services in a Multi-Ontology and Federated Registry Environment
TL;DR: An ontology-based Web service discovery infrastructure to provide access to registries that are divided based on business domains and grouped into federations is discussed, and a novel discovery algorithm is provided, which addresses semantic heterogeneity with respect to multiple ontologies from the same domain.
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.