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Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration (Wiley Series in Systems Engineering and Management) ReviewYou'd think that a book attempting to explain semantic technologies would make an extra effort to be as clear and practical as possible so as not to make the subject even more confusing.I think this book would have been better if it was written by only one author. Part of the book was written clearly and was obviously directed toward a reader who was not familiar with semantic (and other, related) technologies. This author clearly laid out various ways that semantic technology is (and can be) used. Information provided about current products and companies using this technology was also very informative.
Other parts of the book, however, were written as if the reader is just as familiar with the technology as the author. It seems as though one of the authors was more concerned about how they sounded (in writing) to themselves (and possibly their colleagues) than they were in attempting to give practical knowledge about the subject to an uninformed reader. It's difficult enough to understand the subject of semantic technologies without having to fight through densely-written sentences and unnecessarily vague buzz words (like "follow-on query"??).
I was interested in learning exactly HOW this technology enables interoperability "with little or no human intervention" but found no difinitive, practical explanation of how this is achieved. Yes, I understand that ontologies and inference engines are involved, but how do they work together to remove the human part of the middleware equation? How is the "mapping" involved in semantic technologies different from the "mapping" that is involed in today's EAI solutions? I thought that this is the most exiting and unique selling proposition of this technology but I finished this book unsatisfied with how this was explained. Perhaps this selling point is more of a vision than a reality?
Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration (Wiley Series in Systems Engineering and Management) 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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