03216oam 2200649I 450 991078607970332120200520144314.01-136-69930-91-283-92401-30-203-81333-21-136-69931-710.4324/9780203813331 (CKB)2670000000315361(EBL)1105876(OCoLC)823390341(SSID)ssj0000832290(PQKBManifestationID)12357963(PQKBTitleCode)TC0000832290(PQKBWorkID)10899602(PQKB)11773366(Au-PeEL)EBL1105876(CaPaEBR)ebr10642055(CaONFJC)MIL423651(OCoLC)842246514(FINmELB)ELB137676(MiAaPQ)EBC1105876(PPN)248406965(EXLCZ)99267000000031536120180706d2013 uy 0engur|n|---|||||txtccrInternational handbook of research on environmental education /edited by Robert B. Stevenson. [et al.]New York :Routledge,2013.1 online resource (577 p.)Description based upon print version of record.0-415-89239-2 0-415-89238-4 Includes bibliographical references and indexes.pt. A. Conceptualizing environmental education as a field of inquiry -- pt. B. Research on environmental education curriculum, learning, and assessment : processes and outcomes -- pt. C. Issues of framing, doing, and assessing in environmental education research."The environment and contested notions of sustainability are increasingly topics of public interest, political debate, and legislation across the world. Environmental education journals now publish research from a wide variety of methodological traditions that show linkages between the environment, health, development, and education. This growth in scholarship makes this an opportune time to review and consolidate the knowledge base of the environmental education (EE) field. The purpose of this 51-chapter handbook is not only to illuminate the most important concepts, findings and theories that have been developed by EE research, but also to critically examine the historical progression of the field, its current debates and controversies, what is still missing from the EE research agenda, and where that agenda might be headed. Published for the American Educational Research Association (AERA)"--Provided by publisher.Environmental educationHandbooks, manuals, etcEnvironmental sciencesStudy and teachingHandbooks, manuals, etcEnvironmental educationEnvironmental sciencesStudy and teaching363.70071EDU000000EDU029030EDU040000bisacshStevenson Robert445602MiAaPQMiAaPQMiAaPQBOOK9910786079703321International handbook of research on environmental education3721429UNINA11117nam 2200637 a 450 991082500630332120240410170333.01-61324-760-5(CKB)2550000001042114(EBL)3019321(SSID)ssj0000835182(PQKBManifestationID)12410647(PQKBTitleCode)TC0000835182(PQKBWorkID)10989589(PQKB)10268418(MiAaPQ)EBC3019321(Au-PeEL)EBL3019321(CaPaEBR)ebr10670886(OCoLC)831663026(EXLCZ)99255000000104211420101216d2012 uy 0engur|n|---|||||txtccrData management in the semantic web[electronic resource] /Hal Jin, editor1st ed.Hauppauge, N.Y. Nova Science Publishersc20121 online resource (450 p.)Distributed, cluster and grid computingDescription based upon print version of record.1-61122-862-X Includes bibliographical references and index.Intro -- DATA MANAGEMENT IN THE SEMANTIC WEB -- DATA MANAGEMENT IN THE SEMANTIC WEB -- CONTENTS -- PREFACE -- Chapter1INTERPRETATIONSOFTHEWEBOFDATA -- Abstract -- 1Introduction -- 2ADistributedKnowledgeBase -- 2.1RDFSchema -- 2.2WebOntologyLanguage -- 2.3Non-AxiomaticLogic -- 2.3.1TheNon-AxiomaticLanguage -- 2.3.2TheNon-AxiomaticReasoner -- 3ADistributedMulti-RelationalNetwork -- 3.1Single-RelationalNetworks -- 3.2Multi-RelationalNetworks -- 3.3Single-RelationalNetworkAlgorithms -- 3.3.1ShortestPath -- 3.3.2Eccentricity,Radius,andDiameter -- 3.3.3ClosenessandBetweennessCentrality -- 3.3.4StationaryProbabilityDistribution -- 3.3.5PageRank -- 3.3.6SpreadingActivation -- 3.3.7AssortativeMixing -- 3.4PortingSingle-RelationalAlgorithmstotheMulti-RelationalDomain -- 3.4.1AMulti-RelationalPathAlgebra -- 3.4.2Multi-RelationalGrammarWalkers -- 4ADistributedObjectRepository -- 4.1PartialObjectRepository -- 4.2FullObjectRepository -- 4.3VirtualMachineRepository -- 5Conclusion -- Acknowledgements -- References -- Chapter 2 TOWARD SEMANTICS-AWARE WEB CRAWLING -- ABSTRACT -- 1 Introduction -- 2 Related Work -- 3 Semantics-Aware Crawler -- 3.1 Identifying Topic-Specific URLs -- 3.2 Building Training Examples -- 3.3 Ordering URLs in the Crawler's Frontier -- 4 Experimental Evaluation -- 4.1 Semantics-Aware Crawling Performance -- 5 Discussion -- 6 Conclusion -- References -- Related Terms -- Chapter3ASEMANTICTREEREPRESENTATIONFORDOCUMENTCATEGORIZATIONWITHACOMPOSITEKERNEL -- Abstract -- 1Introduction -- 2Relatedwork -- 3TheUMLSFramework -- 4DocumentModeling -- 5TheSemanticKernel -- 5.1TheMercerkernelframework -- 5.2TheUMLS-basedKernel -- 5.3TheConceptKernel -- 6ExperimentalEvaluation -- 6.1TheSVMClassifier -- 6.2TheMultinomialNaiveBayesClassifier -- 6.3Thecorpus -- 6.4Experimentalsetup -- 6.5Experimentalresults.6.6Discussionaboutthe2007CMCMedicalNLPChallenge -- 7Conclusion -- Acknowledgments -- References -- Chapter4ONTOLOGYREUSE-ISITFEASIBLE? -- 1Introduction -- 2OntologyReuse -- 2.1ProcessOverview -- 2.2StateofPractice -- 2.3Methodologies,MethodsandTools -- 3AnEconomicModelforOntologyReuse -- 3.1AnEconomicAnalysisofOntologyReuse -- 3.2TowardsanEconomicModelforOntologyReuse -- 3.2.1TheONTOCOMmodel -- 3.2.2ExtensionsofONTOCOMforReuse -- 3.2.3CalculatingtheRelativeCostsofOntologyReuse -- 3.3ApplicationoftheModel -- 4ConclusionsandOutlook -- References -- Chapter 5 COMPUTATIONAL LOGIC AND KNOWLEDGE REPRESENTATION ISSUES IN DATA ANALYSIS FOR THE SEMANTIC WEB -- ABSTRACT -- 1 Introduction -- 2 Automated Reasoning for Ontology Engineering -- 2.1 Logical databases versus knowledge dynamism -- 3 Poor Representation and Deficient Ontologies -- 3.1 Skolem noise and poor representation -- 3.2 A special case: Semantic Mobile Web 2.0 -- 4 When is an Ontology Robust? -- 4.1 Representational perspective -- 4.2 Computational logic perspective -- 5 Lattice Categorical Theories as Robust Ontologies -- 5.1 Computational viewpoint of ontological Extensions -- 5.2 Representational perspective: Knowledge reconciliation and ontological extensions -- 5.3 Merging robust ontologies -- 5.4 Conservative retractions -- 5.5 Conservative retractions -- 6 Anomalies in Ontologies -- 6.1 Inconsistency: debugging, updating and beyond -- 6.2 Arguments, logic and trust -- 7 FOL as the Universal Provider for Formal Semantics -- 7.1 Model Theory for Semantic Web -- 8 Untrustworthy Information Versus Ontology and Knowledge -- 8.1 Mental attitudes and ontology reasoning -- 8.2 Emergent Ontologies -- 9 Understanding Ontologies: Mereotopology and Entailment-based Visualization -- 10 Meta-logical Trust -- 10.1 Extend OWL to ROWL.10.2 Verification of Description Logics -- 11 Final Remarks -- Acknowledgments -- References -- Chapter6APPLYINGSEMANTICWEBTECHNOLOGIESTOBIOLOGICALDATAINTEGRATIONANDVISUALIZATION -- Abstract -- 1Introduction -- 2SemanticWebtechnologies -- 3SemanticWebforthelifesciences -- 3.1Biologicaldataarehugeinvolume -- 3.2Biologicaldatasourcesareheterogeneous -- 3.3Bio-ontologiesdonotfollowstandardsforontologydesign -- 3.4Biologicalknowledgeiscontextdependant -- 3.5Dataprovenanceisofcrucialimportance -- 4BiologicaldataintegrationwithSemanticWebTechnologies -- 4.1Datagathering -- 4.2Dataconversion -- 4.3OntologyofgeneratedRDFdescriptions -- 4.4PrincipeofURIsencoding -- 4.5Unificationofresources -- 4.6Ontologiesmerging -- 4.7Datarepository -- 4.8InformationretrievalwithSPARQL -- 5Datavisualization -- 6Discussion -- 7Conclusion -- References -- Chapter 7 AN ONTOLOGY AND PEER-TO-PEER BASED DATA AND SERVICE UNIFIED DISCOVERY SYSTEM -- ABSTRACT -- 1 Introduction -- 2 Preliminaries -- 2.1 Terms and definitions -- 2.2 Ontological data -- 2.2.1 Resource domain ontology -- 2.2.2 Thesaurus ontology -- 2.2.3 Service description ontology -- 2.2.4 QoS ontology -- 2.3 JXTA -- 3. Design of Unified Discovery System -- 4 Combine with JXTA -- 5. Resource registry and discovery -- 5.1. Resource registry process -- 5.2 Resource discovery process -- 5.3 Algorithms -- 5.3.1 Getting group location algorithm -- 5.3.2 Locating resource algorithm -- 5.3.3 Service matching algorithm -- 6 Implementation and Experimental Results -- 7 Related Work -- 8 Conclusion -- References -- Chapter8THEDESIGNANDDEVELOPMENTOFASEMANTICENVIRONMENTFORHOLISTICEGOVERNMENTSERVICES -- Abstract -- 1Introduction -- 2Analysisoftheproblem&amp -- motivation -- 3RelatedWork -- 4BusinessModel -- 5LifeEvents.Theknowledgemodel -- 6Semanticsupport -- 6.1Semantics.6.2Applyingsemantics -- 7SupportingArchitecture -- 8LEsinmotion -- 9Conclusion -- 10Acknowledgment -- References -- Chapter 9 SEMANTIC TOPIC MODELING AND ITS APPLICATION IN BIOINFORMATICS -- ABSTRACT -- 1 Introduction -- 2 Latent Dirichlet allocation (LDA) model -- 2.1 Model specification -- 2.2 Statistical learning -- 3 Applications of LDA in biomedical research -- 3.1 Identifying biological related topics -- 3.2 Enhancing text categorization with semantic-enriched representation and training data augmentation -- 3.3 Evaluating the functional coherence of protein groups -- 4 Discussion -- Acknowledgments -- References -- Chapter 10 SUPPORTING A USER IN HIS ANNOTATION AND BROWSING ACTIVITIES IN FOLKSONOMIES -- ABSTRACT -- 1 Introduction -- 2 Preliminaries -- 2.1 Basic Definitions -- 3 Phase 1: Neighborhood Computation -- 3.1 Step 2: Construction of the sets of candidate tags starting fromTSetInput -- 3.2 Step 3: Construction of NeighTSetInput starting from the sets of candidate tags -- 4 Phase 2: Hierarchy Construction -- 4.1 The MST-based algorithm -- 4.2 The Concentric algorithm -- 5 Prototype Description -- 5.1 Class Diagram -- 5.2 Use Case and Sequence Diagrams -- 6 Experiments -- 7 Related Work -- 8 Conclusions -- References -- Chapter 11 DATA MANAGEMENT IN SENSOR NETWORKS USING SEMANTIC WEB TECHNOLOGIES -- ABSTRACT -- 1 Introduction -- 2 Sensor Networks -- 2.1 Sensor Nodes: Functionality and Characteristics -- 2.2 Sensor Networks Topologies -- 2.3 Application Areas -- 2.4 Sensor Web: Data and Services in a Sensor Network -- 3 Knowledge Management in Sensor Networks -- 3.1 Current Approaches -- 3.2 A Unifying Generic Architecture for Sensor Data Management -- 3.2.1 Data Layer -- 3.2.2 Processing Layer -- 3.2.3 Semantic Layer -- 3.2.4 Use Case Scenario.4 Conclusions - Open Issues -- References -- Chapter 12 CHINESE SEMANTIC DEPENDENCY ANALYSIS -- ABSTRACT -- 1 Introduction -- 2 Semantic Annotation -- Semantic Role Labeling -- Semantic Dependency Analysis -- 3 Chinese Semantic Dependency Corpus and Tag Set -- 4 Semantic Dependency Relation Classification -- Mutli-Classifier Classification -- Classification Features -- Rule-Based Correction -- 5 Experimental Results -- 6 The SEEN System -- Syntatic Analysis Module -- Headword Assignment Module -- Semantic Dependency Assignment Module -- 7 Conclusion -- References -- Chapter 13 CREATING PERSONAL CONTENT MANAGEMENT SYSTEMS USING SEMANTIC WEB TECHNOLOGIES -- ABSTRACT -- 1 Introduction -- 2 Related Work -- 3 PCMS Metadata Model -- 3.1 Content-independent metadata -- 3.1.1 System Metadata -- 3.1.2 Security Metadata -- 3.1.3 User Metadata -- 3.2 Image-related Metadata -- 4 Semantic PCMS -- 4.1 Interoperability Issues -- 4.2 Semantic Metadata Model -- 4.3 Lower layer -- 4.4 Mapping and rules -- 5 Metadata Service -- 5.1 Metadata Management -- 5.2 XML to RDF Conversion -- 6 Use Case Scenario -- 6.1 Solving the Use Case Scenario with the Proposed System -- 6.2 Solving the Use Case Scenario with the Related Work -- 7 Conclusion -- 8 Acknowledgments -- References -- Chapter 14 A HYBRID DATA LAYER TO UTILIZE OPEN CONTENT FOR HIGHER-LAYERED APPLICATIONS -- ABSTRACT -- 1 Introduction -- Resources and Open Content -- Web 3.0 alias Social Semantic Web behind the scenes -- 2 How to Utilize Open Content for Higher-layered Applications? -- 3. State of the Art and Related Work -- 4 qKAI Application Framework -- qKAI system layer -- Data storage and change management -- Discovering Linked Data by setting Points of Interest -- SQL replaces SPARQL -- Hybrid knowledge index -- Change management.Reusability and extensibility.Distributed, cluster and grid computing.Web databasesInternet searchingSemantic WebWeb databases.Internet searching.Semantic Web.025.042/7Jin Hal1595463MiAaPQMiAaPQMiAaPQBOOK9910825006303321Data management in the semantic web3916434UNINA