Average Reviews:
(More customer reviews)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.)
Click Here to see more reviews about: Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL
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:
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
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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