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Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL ペーパーバック – 2011/5/20
購入オプションとあわせ買い
- 本の長さ368ページ
- 言語英語
- 出版社Morgan Kaufmann
- 発売日2011/5/20
- 寸法19.05 x 2.11 x 23.5 cm
- ISBN-100123859654
- ISBN-13978-0123859655
商品の説明
レビュー
"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
著者について
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.
登録情報
- 出版社 : Morgan Kaufmann; 第2版 (2011/5/20)
- 発売日 : 2011/5/20
- 言語 : 英語
- ペーパーバック : 368ページ
- ISBN-10 : 0123859654
- ISBN-13 : 978-0123859655
- 寸法 : 19.05 x 2.11 x 23.5 cm
- Amazon 売れ筋ランキング: - 321,927位洋書 (洋書の売れ筋ランキングを見る)
- カスタマーレビュー:
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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.