The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) Review

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(More customer reviews)This field is abstruse and, one hopes, rapidly evolving because it hasn't really got very far yet. Vipul gives an excellent and balanced overview.

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The Semantic Web is a vision - the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception that the Semantic Web is a rehash of existing AI and database work. Kashyap, Bussler, and Moran dispel this notion by presenting the multi-disciplinary technological underpinnings such as machine learning, information retrieval, service-oriented architectures, and grid computing. Thus they combine the informational and computational aspects needed to realize the full potential of the Semantic Web vision.

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Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange Review

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(More customer reviews)It is often the case that a new area of inquiry, comprised of elements from seemingly disparate disciplines, yields surprising insights. Zeigler's and Hammonds's effort is no exception. While linguistics has from time to time informed mathematics and computer science, to my knowledge little has been done to date towards the application of semantics and pragmatics to this type of data exchange.
The prose is concise, clear, and conversational. Given the complexity of the two topics and the more or less mutual exclusivity of their lexicons, readers whose experience has been acquired only in the one or the other of these two disciplines will nevertheless quickly become comfortable in this discussion. The authors provide many examples to illustrate their line of reasoning, all drawn from a wide variety of sources.
As an IT professional with 15 years' experience and an advanced degree in a foreign language, I found this book satisfying, illuminating, and provocative. While it is intended to address a specific engineering problem, its implications extend well beyond its stated purview. Heartily recommended for those who would like to think about the synergies of data engineering and pragmatics, and also for those who want to think about what might be beyond the horizon.

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