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Data Semantics
Management

If you have ever asked the question, "What do you mean by that?," you get the whole point of the book.

When verbal exchanges occur, there is commonly a most sophisticated computer on either end of the exchange: the brain. As the message receiver's brain takes in the words, the brain's semantic processor is ingesting and sending out messages such as smile, nod, frown, or "huh?" The message sender's eyes, ears, and brain have an opportunity to stop, reverse, explain, and so forth until there is either a terminal error (e.g., "I give up, go away!") or some other gesture of acceptance.

The premise of this book is that all information technology data exchanges are just surrogates for verbal exchanges. The information technology data exchanges exist merely to increase velocity, or to reduce costs. This book is all about engineering these exchanges.

This book is not about is engineering perfect exchange environments. That’s because this book is not fiction. At best, the engineered environments, just like the human environments, work well only after significant periods/efforts in which the word/phrases, meanings, language, culture, context, and content that frame the information exchanges have all be satisfactorily addressed.

So, if you want to engineer what’s practical and possible, then this book’s for you. The chapters of this book are:
 

  1. Rationale for Data Semantics Management
  2. Why Semantics
  3. Data Semantics Failures
  4. Engineering Data Semantics
  5. Semantics of Names
  6. Semantic Hierarchies
  7. Fact Specification Cases
  8. Value Domain Management
  9. Data Element Model
  10. Specified Data Models
  11. Implemented Data Models
  12. Database Object Classes
  13. Operational Data Models
  14. Interface Data Models
  15. Work Plans

    Volume 1 and Table of Contents
    Volume 2 Table of Contents
     

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