Holiday book sale: Save up to 30% on print and eBooks. No promo code needed.
Save up to 30% on print and eBooks.
Semantic Web for the Working Ontologist
Effective Modeling in RDFS and OWL
2nd Edition - May 20, 2011
Authors: Dean Allemang, James Hendler
Paperback ISBN:9780123859655
9 7 8 - 0 - 1 2 - 3 8 5 9 6 5 - 5
eBook ISBN:9780123859662
9 7 8 - 0 - 1 2 - 3 8 5 9 6 6 - 2
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… Read more
Purchase options
LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
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
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. RDF schema
Publisher Summary
Schema Languages and their Functions
The RDF Schema Language
RDFS Modeling Combinations and Patterns
Set Union
Challenges
Modeling with Domains and Ranges
Nonmodeling Properties in RDFS
Summary
Chapter 8. RDFS-Plus
Publisher Summary
Inverse
Symmetric Properties
Transitivity
Equivalence
Computing Sameness—Functional Properties
A Few More Constructs
Summary
Chapter 9. Using RDFS-Plus in the wild
Publisher Summary
Open Government Data
Data.Gov Summary
FOAF
Facebook’s Open Graph Protocol
Summary
Chapter 10. SKOS—managing vocabularies with RDFS-Plus
Publisher Summary
Simple Knowledge Organization System (SKOS)
Semantic Relations in SKOS
Concept Schemes
SKOS Integrity
SKOS in Action
Summary
Chapter 11. Basic OWL
Publisher Summary
Restrictions
Challenge Problems
Alternative Descriptions of Restrictions
Summary
Chapter 12. Counting and sets in OWL
Publisher Summary
Unions and Intersections
Differentiating Multiple Individuals
Cardinality
Set Complement
Disjoint Sets
Prerequisites Revisited
Contradictions
Unsatisfiable Classes
Inferring Class Relationships
Reasoning with Individuals and with Classes
Summary
Chapter 13. Ontologies on the Web—putting it all together
Publisher Summary
The Good Relations Ontology
Inferencing in the Good Relations Ontology
Composing Files
Summary
Quantities, Units, and Dimensions
Converting Units with QUDT
Dimension Checking in QUDT
Summary
Biological Ontologies
CHEBI as Unambiguous Reference
CHEBI for Complex Search
Summary
Chapter 14. Good and bad modeling practices
Publisher Summary
Getting Started
Modeling for Reuse
Common Modeling Errors
Summary
Chapter 15. Expert modeling in OWL
Publisher Summary
Owl Subsets and Modeling Philosophy
OWL 2 Modeling Capabilities
Summary
Chapter 16. Conclusions
Publisher Summary
Appendix. Frequently asked questions
Further reading
Index
No. of pages: 384
Language: English
Published: May 20, 2011
Imprint: Morgan Kaufmann
Paperback ISBN: 9780123859655
eBook ISBN: 9780123859662
DA
Dean Allemang
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.
Affiliations and expertise
TopQuadrant, Inc.
JH
James Hendler
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.