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Semantic Web for the Working Ontologist: Effective Modeling in Rdfs and Owl [Englisch] [Taschenbuch]

Dean Allemang , James Hendler
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Kurzbeschreibung

13. Juli 2011
Semantic Web models and technologies provide information in machine-readable languages that enable computers to access the Web more intelligently and perform tasks automatically without the direction of users. These technologies are relatively recent and advancing rapidly, creating a set of unique challenges for those developing applications. "Semantic Web for the Working Ontologist" is the essential, comprehensive resource on semantic modeling, for practitioners in health care, artificial intelligence, finance, engineering, military intelligence, enterprise architecture, and more. Focused on developing useful and reusable models, this market-leading book explains how to build semantic content (ontologies) and how to build applications that access that content. New in this edition includes: coverage of the latest Semantic Web tools for organizing, querying, and processing information - see details in TOC below; detailed information on the latest ontologies used in key web applications including ecommerce, social networking, data mining, using government data, and more; updated with the latest developments and advances in Semantic Web technologies for organizing, querying, and processing information, including SPARQL, RDF and RDFS, OWL 2.0, and SKOS; detailed information on the ontologies used in today's key web applications, including ecommerce, social networking, data mining, using government data, and more; and, even more illustrative examples and case studies that demonstrate what semantic technologies are and how they work together to solve real-world problems.

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Produktinformation

  • Taschenbuch: 354 Seiten
  • Verlag: Morgan Kaufmann; Auflage: 2nd revised edition. (13. Juli 2011)
  • Sprache: Englisch
  • ISBN-10: 0123859654
  • ISBN-13: 978-0123859655
  • Größe und/oder Gewicht: 23,4 x 19 x 2,3 cm
  • Durchschnittliche Kundenbewertung: 5.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 69.125 in Englische Bücher (Siehe Top 100 in Englische Bücher)

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Produktbeschreibungen

Pressestimmen

"Overall, this book provides a thorough and cogent introduction to the semantic Web. Giving just enough philosophical background, the authors focus on the practical aspects of constructing data stores and applications. This blend of philosophy and practical descriptions leads the reader to anticipate how the standards of the semantic Web should work before the standards are described. As a result, the reader is likely to feel that the semantic Web works just as it should."--Computing Reviews "Allemang, a scientist at a company that consults, trains, and provides products for the Semantic Web, and Hendler (computer and cognitive science, Rensselaer Polytechnic Institute) explain how web developers who are practitioners in another field, such as health care, finance, engineering, national intelligence, and enterprise architecture, can model data to fit the requirements of the Semantic Web. They detail how to construct semantic models, with a focus on the use of RDF (Resource Description Framework), RDFS (RDF schema), and OWL (Web Ontology Language) to accomplish specific tasks and model data and domains. This edition has been updated to incorporate new technologies such as SPARQL (SPARQL Protocol And RDF Query Language), OWL 2.0, and SKOS (Simple Knowledge Organization System). They include examples of Quantities, Units, Dimensions, and Types (QUDT) and The Open Biological and Biomedical Ontologies (OBO), as well as examples of how to use the Semantic Web to solve common modeling problems and a FAQ section on challenges."--SciTech Book News "Overall, this is an easy-to-follow guide to the basic concepts related to building semantic Web ontologies. The book flows well from chapter to chapter, and the many examples illustrate the different topics. For beginners, it's an excellent introduction to the subject, which is exactly what the authors intended."--Computing Reviews.com

Über den Autor und weitere Mitwirkende

Dean Allemang is the chief scientist at TopQuadrant, Inc.-the first company in the United States devoted to consulting, training, and products for the Semantic Web. He co-developed (with Professor Hendler) TopQuadrant's successful Semantic Web training series, which he has been delivering on a regular basis since 2003. He has served as an invited expert on numerous international review boards, including a review of the Digital Enterprise Research Institute-the world's largest Semantic Web research institute - and the Innovative Medicines Initiative, a collaboration between 10 pharmaceutical companies and the European Commission to set the roadmap for the pharmaceutical industry for the near future. Jim Hendler is the Tetherless World Senior Constellation Chair at Rensselaer Polytechnic Institute, and has authored over 200 technical papers in the areas of artificial intelligence, Semantic Web, agent-based computing, and web science. One of the early developers of the Semantic Web, he is the Editor-in-Chief emeritus of IEEE Intelligent Systems and is the first computer scientist to serve on the Board of Reviewing Editors for Science. In 2010, he was chosen as one of the 20 most innovative professors in America by Playboy magazine, Hendler currently serves as an "Internet Web Expert" for the U.S. government, providing guidance to the Data.gov project.

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5.0 von 5 Sternen What the title says 31. Januar 2014
Format:Taschenbuch|Von Amazon bestätigter Kauf
The book contains what the title says. Get it if you are interested in Linked Data or modeling data using RDF, OWL, SKOS, SPARQL etc.
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Amazon.com: 4.8 von 5 Sternen  11 Rezensionen
11 von 12 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen excellent source of semantic web information 9. Juni 2011
Von jrock - Veröffentlicht auf Amazon.com
Format:Taschenbuch
The book is well organized, well written, and clear in its exposition of the subject. The way they build up, from the simpler concepts of RDF through RDFS to OWL, is a great way to learn the subject. The examples are instructive and well organized. The summaries at the end of each chapter help put it all in perspective.

In spite of the title of the book, I think many people who do not consider themselves "working ontologists" would benefit from reading the book.

I would recommend this book to anyone who has some familiarity with knowledge representation but needs to learn how the Semantic Web does it. (It might be a bit of a tough read for someone with no prior exposure to knowledge representation of any kind.)
9 von 10 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Alternative title: The Most Gentle Introduction to the Semantic Web 1. November 2011
Von Emre Sevinc - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter Kauf
This is one of the best books I read on Semantic Web and its alternative title should be "The Most Gentle Introduction to the Semantic Web". Gentle indeed, but not in the sense of "semantic web for dummies".

One of the authors, Prof. James Hendler, is the co-author of *THE* article that introduced the concept of Semantic Web to the world (Scientific American Magazine, May 2001). Being an expert in a field and writing a top notch technical introduction that strikes a very good balance between utility and clarity do not necessarily go hand in hand, but in this particular case readers like me should consider themselves very lucky because this book is the perfect blend. Not only does it introduce and explain almost all of the concepts in a very clear and lively manner, but it is full of real-world examples. Being far from a dry technical introduction, the book shows "why"s of Semantic Web with "how"s of it.

At its current page count, it is only expected that the book avoids some implementation- and programming-related topics, but books such as A Developer's Guide to the Semantic Web can easily fill this gap. On the other hand, despite the abundance of books that jump into nitty gritty details of semantic web programming, the books that describe semantic modeling practices and kindly show the pitfalls of ontology design belong to a very rare species, and this fact alone is one of the reasons why I give five stars in this review.

One of the most original parts of the book is at the end: In a brief appendix, the authors give a list of the most frequently asked questions related to semantic web, modeling, ontology design, together with short answers and page number references for further explanations.

Creating a useful ontology for a real-world domain which can carry its weight and prove its utility in many different software applications is not something that can simply be mastered by reading this book, it takes lots of effort, trial and error. Nevertheless this book, in its updated second edition, is a very useful, thoughtful and elegant contribution to the growing literature of practical semantic web.
5 von 6 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Almost perfect 27. Mai 2012
Von David C. Hay - Veröffentlicht auf Amazon.com
Format:Taschenbuch
I gave the first edition of this book five stars, because it really has been the first and most definitive book on the subject. That edition had some quality and editing problems, but these have been addressed in the second edition. Indeed many of the explanations have been much improved.

As a means for learning the semantic web, this is perfect.

Having previously read it and more or less understood the topic as a whole, however, a year later I am trying to solve a problem and I need a reference book. In this role, it is seriously lacking. The index is terrible. There is no glossary. I tried to look up "objectProperty" and "dataTypeProperty" (to me, the most important "properties"). Indeed, I tried to figure out exactly what the authors' definition of "property" is. "Equivalent", "intersection", "transfer", and "union" are indexed under "property", but the basic definition of the word is not to be found, nor are the two main kinds of properties I just referred to. I wanted to figure out the difference between "type" and "class". I did eventually, but neither term shows up in the index. (OK, "class" does, with 10 sub-terms, but none of them include the basic definition of the word.) What is the difference between an "rdfs:class" and an "owl:class"?

The style is as a narrative, and this is a good way to teach. As a source to answer questions, however, it is seriously lacking. Instead of "FAQ" at the end, a glossary would have been nice.

So close...
2 von 2 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen at last - semantic web I understand 7. November 2011
Von Jakubovitz Itzhak - Veröffentlicht auf Amazon.com
Format:Taschenbuch|Von Amazon bestätigter Kauf
I have purchased three highly-acclaimed semantic-web books.
After spending many hours on these books. I learned many facts, but understood very little.
With this book - I understand what can be done with semantic technology. My head is full of possible implamentation ideas, as opposed to the sleep the other books induced.
This is the best tech book I read
1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Wonderful introduction to semantic web technology 13. Februar 2014
Von James Chen - Veröffentlicht auf Amazon.com
Format:Kindle Edition|Von Amazon bestätigter Kauf
This is a great first book to understand the key technologies surrounding the semantic web. The authors have done a fantastical job building up the subject and helping you to understand not just that what and how, but why the semantic web is the way it is. I found the RDF - RDFS - RDFS plus - OWL build up extremely valuable, as I finally feel like I understand the purpose each serves and how they relate to one another. I also feel like I have enough of a base to start building some ontologies of my own. A must read for anyone who is interested in the subject.
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