Context Interchange (Classic Reprint)

Cheng Hian Goh, Stephane Bressan

ISBN 10: 1332256295 / ISBN 13: 9781332256297

Published by Forgotten Books, 2018

About this Item

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.

Seller Inventory # 9781332256297_0

Bibliographic Details

• Title: Context Interchange (Classic Reprint)
• Publisher: Forgotten Books
• Publication Date: 2018
• Language: English
• ISBN 10: 1332256295
• ISBN 13: 9781332256297
• Binding: Paperback
• Condition: New
• Book Type: print-on-demand item
• Seller catalogs:
  • Logic

About this title

Synopsis

A clear, formal approach to making data from diverse systems work together.

This book introduces Context Interchange, a framework for semantic interoperability across heterogeneous sources and receivers.

From theory to practice, the work explains how data semantics can be shared and reasoned about across different contexts. It frames a formal model called COIN that supports mediation, multiple data views, and scalable integration without forcing every source into one schema. A key feature is using logic-based reasoning, including abduction, to provide mediated access to both data and its meaning.

Readers will see how context-objects, inheritance, and conversion functions structure knowledge so changes in one part of a system don’t disrupt the whole network. A prototype demonstrates how traditional databases and semi-structured data can be accessed through mediated queries, improving accessibility and flexibility for real-world data integration.

• Learn how semantic interoperability can be achieved without reengineering every source.
• Understand the COIN data model and how it represents data semantics across contexts.
• Explore abductive reasoning as a way to answer queries with mediated, intensional results.
• See practical considerations for scalability, extensibility, and user accessibility in data integration.

Ideal for readers of information science, database theory, and data integration, especially those exploring heterogeneous data and mediation technologies.