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实用语义网：RDFS与OWL高效建模（英文版）
作者：（美）阿利芒，（美）亨德勒 著
出版社：人民邮电出版社
出版时间：2009-02-01
ISBN：9787115193841
定价：¥59.00
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内容简介
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。
作者简介
Dean Allemang，世界知名的语义网专家。英国剑桥大学数学专业硕士，美国俄亥俄州立大学计算机专业博士。有丰富的语义网开发经验，曾创办了最早的一家语义网技术公司，目前担任美国领先的语义网技术公司TopQLladrant的首席科学家。JoumalofWebSemantics编委。世界最大的语义网研究机构DigitalEnterprise研究院的评审委员会成员。自2003年起一直担任国际语义网会议工业应用方向的主席。James Hendler，语义网的创始人之一，万维网联盟语义网协调组成员。美国人工智能协会和英国计算机协会会士。曾任美国国防部高级研究计划局（DARPA）的信息系统办公室首席科学家。目前是Rensselaer理工学院教授，并兼任麻省理工学院Web科学研究项目的副主任。他还是IEEEIntelligentSystems的主编，也是第一位担任美国《科学》杂志评审委员的计算机科学家。
目录
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
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
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