实用语义网RDFS与OWL高效建模(英文版)

实用语义网RDFS与OWL高效建模(英文版)
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作者: [美] [美]
出版社: 人民邮电出版社
2009-02
版次: 1
ISBN: 9787115193841
定价: 59.00
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
  • 《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。 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。 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
  • 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
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