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Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment (Classic Reprint) - Softcover

 
9781332245239: Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment (Classic Reprint)
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Excerpt from Context Interchange: Overcoming the Challenges of Large-Scale Interoperable Database Systems in a Dynamic Environment Research in database interoperability has primarily focused on circumventing schematic and semantic incompatibility arising from autonomy of the underlying databases. We argue that, while existing integration strategies might provide satisfactory support for small or static systems, their inadequacies rapidly become evident in large-scale interoperable database systems operating in a dynamic environment. The frequent entry and exit of heterogeneous interoperating agents renders "frozen" interfaces (e.g., shared schemas) impractical and places an ever increasing burden on the system to accord more flexibility to heterogeneous users. User heterogeneity mandates that disparate users' conceptual models and preferences must be accommodated, and the emergence of large-scale networks suggests that the integration strategy must be scalable and capable of dealing with evolving semantics. As an alternative to the integration approaches presented in the literature, we propose a strategy based on the notion of context interchange. In the context interchange framework, assumptions underlying the interpretations attributed to data are explicitly represented in the form of data contexts with respect to a shared ontology. Data exchange in this framework is accompanied by context mediation whereby data originating from multiple source contexts is automatically transformed to comply with the receiver context. The focus on data contexts giving rise to data heterogeneity (as opposed to focusing on data conflicts exclusively) has a number of advantages over classical integration approaches, providing interoperating agents with greater flexibility as well as a framework for graceful evolution and efficient implementation of large-scale interoperable database systems Keywords: context interchange, heterogeneous databases, semantic interoperability, shared onto

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About the Author:
About the Editor:
Stuart E. Madnick is Associate Professor of Management Science at the Sloan School of Management, M.I.T., and the principal investigator of a major research effort, funded by DOD and Citibank, to identify the key strategic, organizational, and technology issues in large-scale information systems.

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  • PublisherForgotten Books
  • Publication date2019
  • ISBN 10 1332245234
  • ISBN 13 9781332245239
  • BindingPaperback
  • Number of pages34

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9781378920770: Context Interchange: Overcoming the Challenges of Large-scale Interoperable Database Systems in a Dynamic Environment

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ISBN 10:  1378920775 ISBN 13:  9781378920770
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Book Description Paperback. Condition: New. Print on Demand. Excerpt from Context Interchange. About the Publisher, Forgotten Books publishes hundreds of thousands of rare and classic books. This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works. This text has been digitally restored from a historical edition. Some errors may persist, however we consider it worth publishing due to the work's historical value. The digital edition of all books may be viewed on our website before purchase. print-on-demand item. Seller Inventory # 9781332245239_0

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