Adaptive Information(Series in Systems Engineering Management): Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration / Edition 1

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More About This Textbook

Overview

  • New Paradigm for considering application integration and B2B problems
  • Heightens the importance of conveying meaning between systems
  • Addresses movement in the EAI space toward more data handling capabilities
  • Offers a solution for the multitude of managers disconnected with the latest technologies
  • Leverages the technical advances made in complex data integration over 15 years
  • Shifts the focus from technology solutions to information solutions
  • Relies heavily on the use of practical examples, tips, definitions, and soapbox excerpts throughout the main body of text
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Editorial Reviews

From the Publisher
"Overall, I found the book to be enjoyable and informative, with lots of references and pointers to areas of interest. The variety of topics discussed within the book encourages the reader to read outside of their core specialisms." (BCS, 1 November 2010)"

...an essential read for all Semantic Web practitioners-from CIOs to CTOs and architects to managers...a must-read for upper management." (IEEE Distributed Systems Online, August 2005)

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Product Details

Meet the Author

JEFFREY T. POLLOCK is an executive leader in the enterprise software business, as well as a university instructor and technology visionary in the emerging field of data semantics.

RALPH HODGSON is the cofounder of TopQuadrant, a consulting firm that specializes in semantic technologies and services for software innovation through "Solution Envisioning with Capability Cases."

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Table of Contents

List of Illustrations.

List of Tables and Other Sidebar Elements.

Foreword.

Preface.

Acknowledgments.

PART 1: WHY SEMANTIC INTEROPERABILITY?

1. Semantic Interoperability Gives IT Meaning.

2. Information Infrastructure Issues and Problems.

3. Promise of Frictionless Information.

PART 2: SEMANTIC INTEROPERABILITY PRIMER.

4. Foundations in Data Semantics.

5. Semantic Conflict Solution Patterns.

6. Meta-Data Archetypes.

7. Ontology Design Patterns.

8. Multi-Modal Interoperability Architecture.

9. Infrastructure and E-Business Patterns.

PART 3: ADOPTING SEMANTIC TECHNOLOGIES.

10. Capability Case Studies.

11. Adoption Strategies.

12. Tomorrow's Adaptive and Dynamic Systems.

Appendix A: Vendor Profiles, Tools and Scorecards.

Appendix B: Acronyms and Abbreviations.

Endnotes.

Index.

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