《图灵原版计算机科学系列》之《实用语义网(RDFS与OWL高效建模英文版)》是语义网的入门教程，详细讲述语义网的核心内容的语言，包括语义网的概念、语义建模、RDF、RDF Schema、OWL基础等。

本书对于任何对语义网感兴趣的专业技术人员都是十分难得的参考书。

语义网的发展孕育着万维网及其应用的一场革命，作为语义网核心内容的语言——RDF和OWL，逐渐得到广泛的重视和应用。本书是语义网的入门教程，详细讲述语义网的核心内容的语言，包括语义网的概念、语义建模、RDF、RDF Schema、OWL基础等。

本书对于任何对语义网感兴趣的专业技术人员都是十分难得的参考书。

CHAPTER 1 What Is the Semantic Web?

 What Is a Web?

 Smart Web, Dumb Web

 Smart Web Applications

 A Connected Web Is a Smarter Web

 Semantic Data

 A Distributed Web of Data

 Features of a Semantic Web

 What about the Round-Worlders?

 To Each Their Own

 There's Always One More

 Summary

 Fundamental Concepts

CHAPTER 2 Semantic Modeling

 Modeling for Human Communication

 Explanation and Prediction

 Mediating Variability

 Variation and Classes

 Variation and Layers

 Expressivity in Modeling

 Summary

 Fundamental Concepts

CHAPTER 3 RDF--The Basis of the Semantic Web

 Distributing Data Across the Web

 Merging Data from Multiple Sources

 Namespaces, URIs, and Identity

 Expressing URIs in Print

 Standard Namespaces

 Identifiers in the RDF Namespace

 Challenge- RDF and Tabular Data

 Higher-Order Relationships

 Alternatives for Serialization

 N-Triples

 Notation 3 RDF (N3)

 RDF/XML

 Blank Nodes

 Ordered Information in RDF

 Summary

 Fundamental Concepts

CHAPTER 4 Semantic Web Application Architecture

 RDF Parser/Serializer

 Other Data Sources--Converters and Scrapers

 RDF Store

 RDF Data Standards and Interoperability of

 RDF Stores

 RDF Query Engines and SPARQL

 Comparison to Relational Queries

 Application Code

 RDF-Backed Web Portals

 Data Federation

 Summary

 Fundamental Concepts

CHAPTER 5 RDF and Inferencing

 Inference in the Semantic Web

 Virtues of hfference-Based Semantics

 Where are the Smarts?

 Asserted Triples versus Inferred Triples

 When Does Inferencing Happen?

 Inferencing as Glue

 Summary

 Fundamental Concepts

CHAPTER 6 RDF Schema

 Schema Languages and Their Functions

 What Does It Mean? Semantics as Inference

 The RDF Schema Language

 Relationship Propagation through

 rdfs:subPropertyOf

 Typing Data by Usage--rdfs:domain

 and rdfs:range

 Combination of Domain and Range with

 rdfs:subClassOf

 RDFS Modeling Combinations and Patterns

 Set Intersection

 Property Intersection

 Set Union

 Property Union

 Property Transfer

 Challenges

 Term Reconciliation

 Instance-Level Data Integration

 Readable Labels with rdfs:label

 Data Typing Based on Use

 Filtering Undefined Data

 RDFS and Knowledge Discovery

 Modeling with Domains and Ranges

 Multiple Domains/Ranges

 Nonmodeling Properties in RDFS

 Cross-Referencing Files: rdfs:seeAlso

 Organizing Vocabularies: rdfs:isDefmedBy

 Model Documentation: rdfs:comment

 Summary

 Fundamental Concepts

CHAPTER RDFS-Plus

 Inverse

 Challenge: Integrating Data that Do Not Want

 to Be Integrated

 Challenge: Using the Modeling Language to

 Extend the Modeling Language

 Challenge: The Marriage of Shakespeare

 Symmetric Properties

 Using OWL to Extend OWL

 Transitivity

 Challenge: Relating Parents to Ancestors

 Challenge: Layers of Relationships

 Managing Networks of Dependencies

 Equivalence

 Equivalent Classes

 Equivalent Properties

 Same Individuals

 Challenge: Merging Data from Different Databases

 Computing Sameness--Functional Properties

 Functional Properties

 Inverse Functional Properties

 Combining Functional and Inverse

 Functional Properties

 A Few More Constructs

 Summary

 Fundamental Concepts

CHAPTER 8 Using RDFS-Plus in the Wild

 SKOS

 Semantic Relations in SKOS

 Meaning of Semantic Relations

 Special Purpose Inference

 Published Subject Indicators

 SKOS in Action

 FOAF

 People and Agents

 Names in FOAF

 Nicknames and Online Namds

 Online Persona

 Groups of People

 Things People Make and Do

 Identity in FOAF

 It's Not What You Know, It's Who You Know

 Summary

 Fundamental Concepts

CHAPTER 9 Basic OWL

 Restrictions

 Example: Questions and Answers

 Adding "Restrictions"

 Kinds of Restrictions

 Challenge Problems

 Challenge: Local Restriction of Ranges

 Challenge: Filtering Data Based on Explicit Type

 Challenge: Relationship Transfer in SKOS

 Relationship Transfer in FOAF

 Alternative Descriptions of Restrictions

 Summary

 Fundamental Concepts

CHAPTER 10 Counting and Sets in OWL

 Unions and Intersections

 Closing the World

 Enumerating Sets with owL'oneOf

 Differentiating Individuals with

 owl:differentFrom

 Differentiating Multiple Individuals

 Cardinality

 Small Cardinality Limits

 Set Complement

 Disjoint Sets

 Prerequisites Revisited

 No Prerequisites

 Counting Prerequisites

 Guarantees of Existence

 Contradictions

 Unsatisfiable Classes

 Propagation of Unsatisfiable Classes

 Inferring Class Relationships

 Reasoning with Individuals and with Classes

 Summary

 Fundamental Concepts

CHAPTER 11 Using OWL in the Wild

 The Federal Enterprise Architecture Reference

 Model Ontology

 Reference Models and Composability

 Resolving Ambiguity in the Model: Sets

 versus Individuals

 Constraints between Models

 OWL and Composition

 owl:Ontology

 owl:imports

 Advantages of the Modeling Approach

 The National Cancer Institute Ontology

 Requirements of the NCI Ontology

 Upper-Level Classes

 Describing Classes in the NCI Ontology

 Instance-Level Inferencing in the NCI Ontology

 Summary

 Fundamental Concepts

CHAPTER 12 Good and Bad Modeling Practices

 Getting Started

 Know What You Want

 Inference Is Key

 Modeling for Reuse

 Insightful Names versus Wishful Names

 Keeping Track of Classes and Individuals

 Model Testing

 Common Modeling Errors

 Rampant Classism (Antipattern)

 Exclusivity (Antipattern)

 Objectification (Antipattern)

 Managing Identifiers for Classes (Antipattern)

 Creeping Conceptualization (Antipattern)

 Summary

 Fundamental Concepts

CHAPTER 13 OWL Levels and Logic

 OWL Dialects and Modeling Philosophy

 Provable Models

 Executable Models

 OWL Full versus OWL DL

 Class/Individual Separation

 InverseFunctional Datatypes

 OWL Lite

 Other Subsets of OWL

 Beyond OWL 1.0

 Metamodeling

 Multipart Properties

 Qualified Cardinality

 Multiple Inverse Functional Properties

 Rules

 Summary

 Fundamental Concepts

CHAPTER 14 Conclusions

APPENDIX Frequently Asked Questions

 Further Reading

 Index