Showing posts with label ontology. Show all posts
Showing posts with label ontology. Show all posts

SOA Principles of Service Design Review

SOA Principles of Service Design
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Where do I start?
On the positive side. It is the only computer book I have read in years that is completely free of typing and grammatical errors.
On the negative:
Thomas Erls' previous book contains lots of valuable information about services. This book does not.
A good design book would have contained more.
Every time he starts to discuss something of depth, it is always beyond the scope of the book, contained in the companion Design Patterns book or in a book that he has yet to write, or he references another chapter containing a paragraph of clarification. The OOAD section is great, but that's not the topic of the book.
You know those articles where the text is great, but the diagrams confusing and innane. Well in this book, the diagrams are inane and so is their description. Take for example, page 327. There is a drawing of a stationary car and a moving car. The text reads "State refers to the general condition of something. A car that is moving is in a state of motion, whereas a car that is not moving is in a stationary state." What enlightenment. Another figure, Figure 8.10 ( I know it well ), is repeated 4 times on two pages, and at various other places, with only changes to the text. I can't help but feeling, that if I read all of the following books that this one promotes, I may get one book's worth of content.
I know that my review differs from the others. I have extensive experience in design ( although not SOA design ), and found most of what was discussed repetetive and obvious. Also I can't help but notice when I look at other reviewers' profiles, they have only ever reviewed one book, or at most two.
I will probably buy, or at least checkout the SOA patterns book ( referenced extensively in this one as published, but lost in book desert ). I hope it contains the content that this book should have contained.


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

The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications)
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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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Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) Review

Foundations of Semantic Web Technologies (Chapman and Hall/CRC Textbooks in Computing)
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I have some basic familiarity with RDF, and Semantic Technologies. This book from chapter 1 on was a horrible read. Terribly written with long arduous run on sentences which were frustrating to comprehend. The examples were atrocious. The book was written by academics who must like hearing themselves speak. The writing was so bad it reminded me of reading a legal contract. I bought the book since it was rather new, and my other OWL, RDF, and Semantic Web books are a bit dated now. I was looking for some help with modeling best practices. I generally don't return books, but this one is already in the box again. I'd use it as a door stop but the almost $80 price tag prevents me from using it as such.

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With more substantial funding from research organizations and industry, numerous large-scale applications, and recently developed technologies, the Semantic Web is quickly emerging as a well-recognized and important area of computer science. While Semantic Web technologies are still rapidly evolving, Foundations of Semantic Web Technologies focuses on the established foundations in this area that have become relatively stable over time. It thoroughly covers basic introductions and intuitions, technical details, and formal foundations.The book concentrates on Semantic Web technologies standardized by the World Wide Web Consortium: RDF and SPARQL enable data exchange and querying, RDFS and OWL provide expressive ontology modeling, and RIF supports rule-based modeling. The text also describes methods for specifying, querying, and reasoning with ontological information. In addition, it explores topics that are clearly beyond foundations, such as tools, applications, and engineering aspects.Written by highly respected researchers with a deep understanding of the material, this text centers on the formal specifications of the subject and supplies many pointers that are useful for employing Semantic Web technologies in practice.The book has an accompanying website with supplemental information.

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

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