实用语义网RDFS与OWL高效建模英文版

图书标准信息

• 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
• 版次 1
• ISBN 9787115193841
• 定价 59.00元
• 装帧 平装
• 开本 16开
• 纸张 胶版纸
• 页数 330页
• 字数 413千字
• 正文语种 英语
• 丛书 图灵原版计算机科学系列

【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。

【目录】

CHAPTER1WhatIstheSemanticWeb?
WhatIsaWeb?
SmartWeb,DumbWeb
SmartWebApplications
AConnectedWebIsaSmarterWeb
SemanticData
ADistributedWebofData
FeaturesofaSemanticWeb
WhatabouttheRound-Worlders?
ToEachTheirOwn
TheresAlwaysOneMore
Summary
FundamentalConcepts
CHAPTER2SemanticModeling
ModelingforHumanCommunication
ExplanationandPrediction
MediatingVariability
VariationandClasses
VariationandLayers
ExpressivityinModeling
Summary
FundamentalConcepts
CHAPTER3RDF--TheBasisoftheSemanticWeb
DistributingDataAcrosstheWeb
MergingDatafromMultipleSources
Namespaces,URIs,andIdentity
ExpressingURIsinPrint
StandardNamespaces
IdentifiersintheRDFNamespace
Challenge-RDFandTabularData
Higher-OrderRelationships
AlternativesforSerialization
N-Triples
Notation3RDF(N3)
RDF/XML
BlankNodes
OrderedInformationinRDF
Summary
FundamentalConcepts
CHAPTER4SemanticWebApplicationArchitecture
RDFParser/Serializer
OtherDataSources--ConvertersandScrapers
RDFStore
RDFDataStandardsandInteroperabilityof
RDFStores
RDFQueryEnginesandSPARQL
ComparisontoRelationalQueries
ApplicationCode
RDF-BackedWebPortals
DataFederation
Summary
FundamentalConcepts
CHAPTER5RDFandInferencing
InferenceintheSemanticWeb
Virtuesofhfference-BasedSemantics
WherearetheSmarts?
AssertedTriplesversusInferredTriples
WhenDoesInferencingHappen?
InferencingasGlue
Summary
FundamentalConcepts
CHAPTER6RDFSchema
SchemaLanguagesandTheirFunctions
WhatDoesItMean?SemanticsasInference
TheRDFSchemaLanguage
RelationshipPropagationthrough
rdfs:subPropertyOf
TypingDatabyUsage--rdfs:domain
andrdfs:range
CombinationofDomainandRangewith
rdfs:subClassOf
RDFSModelingCombinationsandPatterns
SetIntersection
PropertyIntersection
SetUnion
PropertyUnion
PropertyTransfer
Challenges
TermReconciliation
Instance-LevelDataIntegration
ReadableLabelswithrdfs:label
DataTypingBasedonUse
FilteringUndefinedData
RDFSandKnowledgeDiscovery
ModelingwithDomainsandRanges
MultipleDomains/Ranges
NonmodelingPropertiesinRDFS
Cross-ReferencingFiles:rdfs:seeAlso
OrganizingVocabularies:rdfs:isDefmedBy
ModelDocumentation:rdfs:comment
Summary
FundamentalConcepts
CHAPTERRDFS-Plus
Inverse
Challenge:IntegratingDatathatDoNotWant
toBeIntegrated
Challenge:UsingtheModelingLanguageto
ExtendtheModelingLanguage
Challenge:TheMarriageofShakespeare
SymmetricProperties

UsingOWLtoExtendOWL
Transitivity
Challenge:RelatingParentstoAncestors
Challenge:LayersofRelationships
ManagingNetworksofDependencies
Equivalence
EquivalentClasses
EquivalentProperties
SameIndividuals
Challenge:MergingDatafromDifferentDatabases
ComputingSameness--FunctionalProperties
FunctionalProperties
InverseFunctionalProperties
CombiningFunctionalandInverse
FunctionalProperties
AFewMoreConstructs
Summary
FundamentalConcepts
CHAPTER8UsingRDFS-PlusintheWild
SKOS
SemanticRelationsinSKOS
MeaningofSemanticRelations
SpecialPurposeInference
PublishedSubjectIndicators
SKOSinAction
FOAF
PeopleandAgents
NamesinFOAF
NicknamesandOnlineNamds
OnlinePersona
GroupsofPeople
ThingsPeopleMakeandDo
IdentityinFOAF
ItsNotWhatYouKnow,ItsWhoYouKnow
Summary
FundamentalConcepts
CHAPTER9BasicOWL
Restrictions
Example:QuestionsandAnswers
Adding"Restrictions"
KindsofRestrictions
ChallengeProblems
Challenge:LocalRestrictionofRanges
Challenge:FilteringDataBasedonExplicitType
Challenge:RelationshipTransferinSKOS
RelationshipTransferinFOAF
AlternativeDescriptionsofRestrictions
Summary
FundamentalConcepts
CHAPTER10CountingandSetsinOWL
UnionsandIntersections
ClosingtheWorld
EnumeratingSetswithowLoneOf
DifferentiatingIndividualswith
owl:differentFrom
DifferentiatingMultipleIndividuals
Cardinality
SmallCardinalityLimits
SetComplement
DisjointSets
PrerequisitesRevisited
NoPrerequisites
CountingPrerequisites
GuaranteesofExistence
Contradictions
UnsatisfiableClasses
PropagationofUnsatisfiableClasses
InferringClassRelationships
ReasoningwithIndividualsandwithClasses
Summary
FundamentalConcepts
CHAPTER11UsingOWLintheWild
TheFederalEnterpriseArchitectureReference
ModelOntology
ReferenceModelsandComposability
ResolvingAmbiguityintheModel:Sets
versusIndividuals
ConstraintsbetweenModels
OWLandComposition
owl:Ontology
owl:imports
AdvantagesoftheModelingApproach
TheNationalCancerInstituteOntology
RequirementsoftheNCIOntology
Upper-LevelClasses
DescribingClassesintheNCIOntology
Instance-LevelInferencingintheNCIOntology
Summary
FundamentalConcepts
CHAPTER12GoodandBadModelingPractices
GettingStarted
KnowWhatYouWant
InferenceIsKey
ModelingforReuse
InsightfulNamesversusWishfulNames
KeepingTrackofClassesandIndividuals
ModelTesting
CommonModelingErrors
RampantClassism(Antipattern)
Exclusivity(Antipattern)
Objectification(Antipattern)
ManagingIdentifiersforClasses(Antipattern)
CreepingConceptualization(Antipattern)
Summary
FundamentalConcepts
CHAPTER13OWLLevelsandLogic
OWLDialectsandModelingPhilosophy
ProvableModels
ExecutableModels
OWLFullversusOWLDL
Class/IndividualSeparation
InverseFunctionalDatatypes
OWLLite
OtherSubsetsofOWL
BeyondOWL1.0
Metamodeling
MultipartProperties
QualifiedCardinality
MultipleInverseFunctionalProperties
Rules
Summary
FundamentalConcepts
CHAPTER14Conclusions
APPENDIXFrequentlyAskedQuestions
FurtherReading
Index