Summary and Info
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 Content: Chapter 1 Semantic Interoperability Gives IT Meaning (pages 3–22): Chapter 2 Information Infrastructure Issues and Problems (pages 23–38): Chapter 3 Promise of Frictionless Information (pages 39–65): Chapter 4 Foundations in Data Semantics (pages 69–98): Chapter 5 Semantic Conflict Solution Patterns (pages 99–125): Chapter 6 Metadata Archetypes (pages 127–144): Chapter 7 Ontology Design Patterns (pages 145–194): Chapter 8 Multimodal Interoperability Architecture (pages 195–221): Chapter 9 Infrastructure and E?Business Patterns (pages 223–255): Chapter 10 Capability Case Studies (pages 259–304): Chapter 11 Adoption Strategies (pages 305–331): Chapter 12 Tomorrow's Adaptive and Dynamic Systems (pages 333–346):
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