A Developer's Guide to the Semantic Web Review

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A Developer's Guide to the Semantic Web ReviewNot only does A Developer's Guide to Semantic Web offer an excellent introduction to "what is" Semantic Web, but it also guides the readers onto the "how to" stage with assiduously, almost mind-numbingly easy to understand, step by step coding examples. Needless to say, the author has an amazing grasp of the Semantic web technology himself. Unlike some quite complicated and mind-boggling books on Semantic Web, A Developer's Guide to Semantic Web is easy to comprehend, therefore an outstanding tool. Concepts such as RDF, OWL, SPARQL, and well-known applications such as FOAF, Wiki, DBpedi and LOD are brilliantly illustrated with ample coding examples. The last section of the book weaves all of them together with raw examples of running applications, which are readily available for use. This is a must-read for students, researchers, software engineers and developers who are interested in the Semantic Web technology. Highly recommended.A Developer's Guide to the Semantic Web OverviewCovering the theory, technical components and applications of the Semantic Web, this book's unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.

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Foundations of Semantic Web Technologies (Chapman & Hall/CRC Textbooks in Computing) Review

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

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The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) ReviewThis field is abstruse and, one hopes, rapidly evolving because it hasn't really got very far yet. Vipul gives an excellent and balanced overview.The Semantic Web: Semantics for Data and Services on the Web (Data-Centric Systems and Applications) OverviewThe 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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A Semantic Web Primer (Cooperative Information Systems series) Review

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A Semantic Web Primer (Cooperative Information Systems series) Review
If you've read about the basics of the semantic web online, you won't get much more from this book. There's only 6 pages devoted to SPARQL, and no mention of RDFa. Later chapters (especially "Ontology Engineering") are thin and weak. You learn the dirt basics, but not how to build anything meaningful with it.A Semantic Web Primer (Cooperative Information Systems series) OverviewThe development of the Semantic Web, with machine-readable content, hasthe potential to revolutionize the World Wide Web and its use. A Semantic Web Primerprovides an introduction and guide to this still emerging field, describing its keyideas, languages, and technologies. Suitable for use as a textbook or for self-studyby professionals, it concentrates on undergraduate-level fundamental concepts andtechniques that will enable readers to proceed with building applications on theirown and includes exercises, project descriptions, and annotated references torelevant online materials. A Semantic Web Primer provides a systematic treatment ofthe different languages (XML, RDF, OWL, and rules) and technologies (explicitmetadata, ontologies, and logic and inference) that are central to Semantic Webdevelopment as well as such crucial related topics as ontology engineering andapplication scenarios. This substantially revised and updated second editionreflects recent developments in the field, covering new application areas and tools.The new material includes a discussion of such topics as SPARQL as the RDF querylanguage; OWL DLP and its interesting practical and theoretical properties; the SWRLlanguage (in the chapter on rules); OWL-S (on which the discussion of Web servicesis now based). The new final chapter considers the state of the art of the fieldtoday, captures ongoing discussions, and outlines the most challenging issues facingthe Semantic Web in the future. Supplementary materials, including slides, onlineversions of many of the code fragments in the book, and links to further reading,can be found at http://www.semanticwebprimer.org.Grigoris Antoniou is Professor atthe Institute for Computer Science, FORTH (Foundation for Research andTechnology-Hellas), Heraklion, Greece. Frank van Harmelen is Professor in theDepartment of Artificial Intelligence at the Vrije Universiteit, Amsterdam, theNetherlands.

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Model Driven Architecture and Ontology Development Review

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Model Driven Architecture and Ontology Development ReviewI am currently reading this excellent book, and I especially like the concept of Modeling Spaces presented in chapter 5. And it is very hard to find books that cover both MDA from OMG as well as W3C's Semantic Web. Much research and development is going on in this field, therefore you might find some parts of this edition somewhat dated.
It is therefore a pleasant surprise to find the second edition of this book published recently by the same authors as "Model Driven Engineering and Ontology Development".
I wholeheartedly recommend this book to anyone with an interest in modeling software and information, but be sure to check out the second edition.Model Driven Architecture and Ontology Development OverviewDefining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these.Gaševic and his co-authors try to fill this gap by covering the subject of MDA application for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG's new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. The book is supported by a website showing many ontologies, UML and other MDA-based models, and the transformations between them."The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research. The writing is technical yet clear and accessible, illustrated throughout with useful and easily digestible examples." from the Foreword by Bran Selic, IBM Rational Software, Canada."I do not know another book that offers such a high quality insight into UML and ontologies." Steffen Staab, U Koblenz, Germany

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