Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL, Second Edition, discusses the capabilities of Semantic Web modeling languages, such as RDFS (Resource Description Framework Schema) and OWL (Web Ontology Language). Organized into 16 chapters, the book provides examples to illustrate the use of Semantic Web technologies in solving common modeling problems. It uses the life and works of William Shakespeare to demonstrate some of the most basic capabilities of the Semantic Web. The book first provides an overview of the Semantic Web and aspects of the Web. It then discusses semantic modeling and how it can support the development from chaotic information gathering to one characterized by information sharing, cooperation, and collaboration. It also explains the use of RDF to implement the Semantic Web by allowing information to be distributed over the Web, along with the use of SPARQL to access RDF data. Moreover, the reader is introduced to components that make up a Semantic Web deployment and how they fit together, the concept of inferencing in the Semantic Web, and how RDFS differs from other schema languages. Finally, the book considers the use of SKOS (Simple Knowledge Organization System) to manage vocabularies by taking advantage of the inferencing structure of RDFS-Plus. This book is intended for the working ontologist who is trying to create a domain model on the Semantic Web.

Key Features

  • 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


Programmers, web developers, and application developers; technologists and graduate students in computer science

Table of Contents

  • Preface to the second edition
    • Preface to the first edition
  • Acknowledgments
  • About the authors
  • Chapter 1. What is the Semantic Web?
    • Publisher Summary
    • What is a Web?
    • Smart Web, Dumb Web
    • Semantic Data
    • Summary
  • Chapter 2. Semantic modeling
    • Publisher Summary
    • Modeling for Human Communication
    • Explanation and Prediction
    • Mediating Variability
    • Expressivity in Modeling
    • Summary
  • Chapter 3. RDF—The basis of the Semantic Web
    • Publisher Summary
    • Distributing Data across the Web
    • Merging Data from Multiple Sources
    • Namespaces, URIs, and Identity
    • Identifiers in the RDF Namespace
    • Challenge: RDF and Tabular Data
    • Higher-Order Relationships
    • Alternatives for Serialization
    • RDF/XML
    • Blank Nodes
    • Summary
  • Chapter 4. Semantic Web application architecture
    • Publisher Summary
    • RDF Parser/Serializer
    • RDF Store
    • Application Code
    • Data Federation
    • Summary
  • Chapter 5. Querying the Semantic Web—SPARQL
    • Publisher Summary
    • Tell-and-Ask Systems
    • RDF as a Tell-and-Ask System
    • SPARQL—Query Language for RDF
    • Construct Queries in SPARQL
    • Using Results of Construct Queries
    • SPARQL Rules—Using SPARQL as a Rule Language
    • Advanced Features of SPARQL
    • Aggregates and Grouping (SPARQL 1.1)
    • Subqueries (SPARQL 1.1)
    • Union
    • Assignments (SPARQL 1.1)
    • Federating SPARQL Queries
    • Summary
  • Chapter 6. RDF and inferencing
    • Publisher Summary
    • Inference in the Semantic Web
    • Where are the Smarts?
    • When does Inferencing Happen?
    • Summary
  • Chapter 7. R


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© 2011
Morgan Kaufmann
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