Synopses & Reviews
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
The bestselling practitioner's guide to the semantic web, updated with the latest developments in technologies for building useful and reusable models and applications.
“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 Protégé 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
About the Author
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.
Rensselaer Polytechnic Institute
Table of Contents
1 What Is The Semantic Web?
2 Semantic Modeling
3 RDF - The Basis of the Semantic Web
4 SPARQL - The Query Language for RDF
5 Semantic Web Application Architecture
6 RDF And Inferencing
7 RDF Schema Language
9 SKOS - the Simple Knowledge Organization System
10 Ontologies in the Wild: Linked Open Data and the Open Graph Project
11 Basic OWL
12 Counting and Sets In OWL
13 MORE Ontologies in the Wild: QUDT, GoodRelations, and OBO Foundry
14 Good and Bad Modeling Practices
15 OWL 2.0 Levels and Logic
17 Frequently Asked Questions