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Context Interchange: Representing and Reasoning About Data Semantics in Heterogeneous Systems (Classic Reprint) - Softcover

 
9781332256297: Context Interchange: Representing and Reasoning About Data Semantics in Heterogeneous Systems (Classic Reprint)

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The context interchange (coin) strategy 44; 48 presents a novel perspective for mediated data access in which semantic conflicts among heterogeneous systems are not identified a prior, but are detected and reconciled by a Context Mediator through comparison of contexts associated with any two systems engaged in data exchange. In this paper, we present a formal characterization and reconstruction of this strategy in a Coin framework, based on a deductive object-oriented data model and language called Coin. The Coin framework provides a logical formalism for representing data semantics in distinct contexts. We show that this presents a well-founded basis for reasoning about semantic disparities in heterogeneous systems. In addition, it combines the best features of loose and tight-coupling approaches in defining an integration strategy that is scalable, extensible and accessible. These latter features are made possible by allowing complexity of the system to be harnessed in small chunks, by enabling sources and receivers to remain loosely-coupled to one another, and by sustaining an infrastructure for data integration.

Keywords: Context, heterogeneous databases, logic and databases, mediators, semantic interoperability.

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Cheng Hian Goh, Stephane Bressan
Published by Forgotten Books, 2015
ISBN 10: 1332256295 ISBN 13: 9781332256297
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Paperback. Condition: New. Print on Demand. This book combines insights gathered from database and information systems to form a strategy for the integration of data from heterogeneous databases and applications. The author argues that accessing data from disparate data sources through different applications has become essential in the present day's technological landscape, but current approaches to data integration are inadequate for our needs, requiring significant manual intervention and limiting scalability and extensibility. To circumvent these issues, this book proposes a framework that allows data semantics to be captured without the need for manual reconciliation, paving the way for a more intelligent and seamless approach to data integration. Its examination of the relationship between data models, query languages, and deduction provides a valuable new perspective on this subject. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332256297_0

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Condition: New. KlappentextrnrnExcerpt from Context Interchange: Representing and Reasoning About Data Semantics in Heterogeneous SystemsWe have two (intertwined) objectives in this paper. First, we aim to provide a formal foundation for the Context Int. Seller Inventory # 2147938965

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