Jeffrey T. Pollock & Ralph Hodgson 
Adaptive Information 
Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration

* 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

Table of Content

List of Illustrations xvii

List of Tables and Other Sidebar Elements xxi

Foreword xxiii

Preface xxv

Acknowledgments xxxi

Part One: Why Semantic Interoperability?

1. Semantic Interoperability Gives IT Meaning 3

2. Information Infrastructure Issues and Problems 23

3. Promise of Frictionless Information 39

Part Two: Semantic Interoperability Primer

4. Foundations in Data Semantics 69

5. Semantic Conflict Solution Patterns 99

6. Meta Data Archetypes 127

7. Ontology Design Patterns 145

8. Multimodal Interoperability Architecture 195

9. Infrastructure and E-Business Patterns 223

Part 3: Adopting Semantic Technologies

10. Capability Case Studies 259

11. Adoption Strategies 305

12. Tomorrow’s Adaptive and Dynamic Systems 333

Appendices

Appendix A. Vendor Profiles, Tools, and Scorecards 347

Appendix B. Acronyms and Abbreviations 375

Endnotes 379

Index 383

About 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 Top Quadrant, a
consulting firm that specializes in semantic technologies and
services for software innovation through ‘Solution Envisioning with
Capability Cases.’