- Taschenbuch: 368 Seiten
- Verlag: Morgan Kaufmann; Auflage: 2nd revised edition. (20. Mai 2011)
- Sprache: Englisch
- ISBN-10: 0123859654
- ISBN-13: 978-0123859655
- Größe und/oder Gewicht: 19 x 2,1 x 23,5 cm
- Durchschnittliche Kundenbewertung: 2 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 92.487 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (Englisch) Taschenbuch – 20. Mai 2011
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The Missing Link: Hendler and Allemang s new book is exactly what our industry is looking for. We have many introductory books, and some compilations of papers but very little to help a practitioner move up their experience curve from novice to journeyman ontologist. The book is very readable; the examples are plentiful and easily understandable. I ve already been recommending students and clients pre-order this book - David McComb, President, Semantic Arts, Inc. www.semanticarts.com
This is by far the best introduction to the semantic web currently available, from a practitioner s point of view. There are meaty examples that move beyond the theory and hype. You will get a clear understanding of what RDF, RDF Schema and OWL are all about - both in terms of what they are and how to use them. You will learn a variety of hard-nosed and hard-won practical guidelines gained from years of experience building and deploying ontologies in the trenches ? Semantic Web for the Working Ontologist fills a much needed gap in the literature. It represents an impressive collection and synthesis of a wide variety of sources that have hitherto been scattered among academic books and papers, W3C working group notes, talks, blogs and email discussion groups. I expect to refer to this book often. - Dr. Michael Uschold, Internationally recognized expert in ontologies and semantic web technologies both in academia and industry.
At the time when the world needs to find consensus on a wide range of subjects, publication of this book carries special importance. Crossing over East-West cultural differences, I hope semantic web technology contributes to bridge different ontologies and helps build the foundation for consensus towards the global community. - Toru Ishida, Department of Social Informatics, Kyoto University Yoshida-Honmachi
Despite all the excitement about the Semantic Web, the principles of actually using Semantic Web standards to create useful applications have been buried in tedious documents and e-mail threads. This volume-written by two leaders in the Semantic Web community who represent perfectly the academic and the industrial perspective-makes the arcane knowledge needed to build intelligent Web applications accessible and understandable. This is a great introduction to the Semantic Web and its associated knowledge-representation standards. More important, the book shows how to use the standards, and does so in a lively and lucid way. - Mark A. Musen, Professor of Medicine and Computer Science, Stanford University; Director, the National Center for Biomedical Ontology; Director, the Protege Project
"Semantics are no longer contained to the realm of theorists but are now being applied to help large leaning-forward organizations wrestle with information discovery and reuse. Here is a practical guide written for those who are seeking insight on techniques for real-world applications." - Andrew Schain, Visiting researcher, Maryland Information and Network Dynamtics Laboratory"
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.
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In diesem Buch(Mehr dazu)
Einziges Manko ist die fehlende Vertiefung in FOL und DL.
In Summe kann ich das Buch nur weiter empfehlen. 5 Sterne!
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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.
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.)
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.
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
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