实用语义网RDFS与OWL高效建模(英文版)(图灵原版计算机科学系列)(Semantic Web for the working ontologist effective modeling in RDFS and OWL)
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品牌: 阿利芒
基本信息·出版社：人民邮电出版社
·页码：330 页
·出版日期：2009年
·ISBN：7115193843/9787115193841
·条形码：9787115193841
·包装版本：1版
·装帧：平装
·开本：16
·正文语种：英语
·丛书名：图灵原版计算机科学系列
·外文书名：Semantic Web for the working ontologist effective modeling in RDFS and OWL
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内容简介《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、语义建模等。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。
《实用语义网RDFS与OWL高效建模》(英文版)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DeanAllemang，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。
JamesHendler，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。
媒体推荐“本书正是我这些年一直期待的，它的出版将帮助更多人真正理解语义网。我相信它对于语义网社区的作用，就像《Java编程思想》之于Java社区。”
——HenryStory，Sun公司语义网专家
“本书的两位作者都是语义网的权威，一个来自学界，一个来自业界，堪称完美组合。他们使原本晦涩难懂的语义网和相关的知识表示标准变得生动易懂。强烈推荐。”
——MarkA．Musen，斯坦福大学教授，著名开源语义网平台Prot6g6项目负责人
“Hendler和Allemang的这本书正是我们一直在寻找的。以前的同类图书对做实际工作的人帮助甚微，而这本书可读性很强，例子丰富而且简单易懂。我推荐大家都去买这本书。”
——DavidMcComb
编辑推荐由Web之父TimJohnBertlers-Lee提出的语义网标志着又一场革命，它要大大提升万维网，为其内容添加语义，使其成为人们与计算机系统共享数据、信息和知识的更为强大的通用媒介。随着Web2．O和云计算等概念的不断深入人心。语义网的思想和技术已经逐渐融入到各种主流的软件（如Oracle、Photostlop）和Web应用（如社区网站、搜索）中。
但是，长期以来，语义网方面的资料严重缺乏，除了标准规范本身之外，相关的图书基本上只是触及皮毛，缺乏实战指导。《实用语义网RDFS与OWL高效建模》(英文版)填补了这一空白。它由两位语义网世界级权威合作撰写。已经成为此领域不可或缺的权威著作。书中针对程序员和领域专家。在透彻而详细地讲述了语义网及其核心技术（RDFS和OW[．）的基础知识之后。提供了大量解决实际问题的方案、实例、技巧和经验。阅读《实用语义网RDFS与OWL高效建模》(英文版)之后，读者可以大大加深对语义网的理解。充满自信地面对今天和未来的技术挑战。
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 Inferencmg
Inference in the Semantic Web
Virtues of Inference-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:domainand rdfs:range
Combination of Domain and Range with
rdfs:subClassOf
RDFS Modeling Combinations and PatternsSet Intersection
Property Intersection Set Union
Property Union
Property Transfer
Challenges
Term Reconciliation
Instance-Level Data Integration
Readable Labels with rdfs:labelData 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:isDef'medBy
Model Documentation: rdfs:comment
Summary
Fundamental Concepts
CHAPTER 7 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 Names
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
……
CHAPTER 11 Using OWL in the Wild
CHAPTER 12 Good and Bad Modeling Practices
CHAPTER 13 OWL Levels and Logic
CHAPTER 14 Conclusions
APPENDIX Frequently Asked Questions
Further Reading
Index
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序言In 2003, when the World Wide Web Consortium was working toward the ratifi-cation of the Recommendations for the Semantic Web languages RDF, RDFS, andOWL, we realized that there was a need for an industrial-level introductorycourse in these technologies. The standards were technically sound, but, as istypically the case with standards documents, they were written with technicalcompleteness in mind rather than education. We realized that for this technol-ogy to take off, people other than mathematicians and logicians would haveto learn the basics of semantic modeling.
Toward that end, we started a collaboration to create a series of trainingsaimed not at university students or technologists but at Web developers whowere practitioners in some other field. In short, we needed to get the SemanticWeb out of the hands of the logicians and Web technologists, whose job hadbeen to build a consistent and robust infrastructure, and into the hands of thepractitioners who were to build the Semantic Web. The Web didn't grow tothe size it is today through the efforts of only HTML designers, nor would theSemantic Web grow as a result of only logicians' efforts.
After a year or so of offering training to a variety of audiences, we delivered atraining course at the National Agriculture Library of the U.S. Department ofAgriculture. Present for this training were a wide variety of practitioners inmany fields, including health care, finance, engineering, national intelligence,and enterprise architecture. The unique synergy of these varied practitionersresulted in a dynamic four days of investigation into the power and subtlety ofsemantic modeling. Although the practitioners in the room were innovativeand intelligent, we found that even for these early adopters, some of the newways of thinking required for modeling in a World Wide Web context weretoo subtle to master after just a one-week course. One participant had registeredfor the course multiple times, insisting that something else "clicked" each timeshe went through the exercises.
This is when we realized that although the course was doing a good job ofdisseminating the information and skills for the Semantic Web, another, morearchival resource was needed. We had to create something that students couldwork with on their own and could consult when they had questions. Thiswas the point at which the idea of a book on modeling in the Semantic Webwas conceived. We realized that the readership needed to include a wide varietyof people from a number of fields, not just programmers or Web application developers but all the people from different fields who were struggling to understand how to use the new Web languages.
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