Collective Intelligence and Digital Archives: Towards Knowledge Ecosystems

Ecosystems of Collective Intelligence in the Service of Digital ArchivesDigital archivesCollective intelligenceKnowledge ecosystemsExamples of ecosystems of knowledgeModeling digital archive interpretationEditing archives via the semantic webA semantic platform for analyzing audiovisual corpusesDigital libraries and crowdsourcing: a state-of-the-artConservation and promotion of cultural heritageModeling knowledge for innovationSolutionsBibliographyTools for Modeling Digital Archive Interpretation What archives are we speaking of? Definition, issues and collective intelligence methodsDatabase archives, evolution of a concept and its functionsThe exploitation of digital archives in the humanitiesThe specific case of visualization toolsDigital archive visualization tools: lessons from the Biolographes experimentTools for testingTools for visualizing networks: DBpedia, PalladioMulti-purpose tools (Keshif, Table)Prototype for influence network modelingCategorization of relationshipsAssisted influence network entryLimits and perspectivesEpistemological conflictsThe digital “black box”? From individual expertise to group intelligenceConclusionBibliographyFrom the Digital Archive to the Resource Enriched Via Semantic Web: Process of Editing a Cultural HeritageInfluencing the intelligibility of a heritage documentMobilizing differential semanticsApplying an interpretive process to the archiveAssessment of the semiotic studyPopularizing the data web in the editorialization approachArchive editorialization in the Famille™ architextAssessment of the archive’s recontextualizationBibliographyStudio Campus AAR: A Semantic Platform for Analyzing and Publishing Audiovisual CorpusesIntroductionContext and issuesArchiving and appropriation of audiovisual dataGeneral presentation of the Campus AAR environmentEditing knowledge graphs - the Studio Campus AAR exampleContextRepresentations of OWL2 restrictionsResolution of OWL2 restrictionsRelaxing constraintsClassification of individualsOpening and interoperability with the web of dataGraphical interfacesApplication to media analysisModel of audiovisual descriptionReference works and description modelsModularity of the ontologiesUse of SKOS vocabulariesDescription patternThe management of contextsSuggestion of propertiesSuggestion of property valuesOpening on the web of dataApplication to the management of individualsMulti-ontology descriptionFaceted browsingAn individual’s rangeApplication to information searchesSemantic searchesTransformation of SPARQL query graphsTransformation of OWL2 axioms into SPARQLInterfaceApplication to corpus managementApplication to author publicationPublication ontologiesThe publication ontologyThe hypermedia product’s ontologyThe publication’s configurationTransformation engineFinal productOpening on the web of dataGraphical InterfaceConclusionBibliographyDigital Libraries and Crowdsourcing: A ReviewThe concept of crowdsourcing in librariesDefinition of crowdsourcingHistoric origins of crowdsourcingConceptual origins of crowdsourcingCritiques of crowdsourcing. Towards the uberization of libraries?Taxonomy and panorama of crowdsourcing in librariesExplicit crowdsourcingVolunteer crowdsourcingPaid crowdsourcingGamification and implicit crowdsourcingGamificationImplicit crowdsourcingCrowdfundingOn-demand digitizationOn-demand printing and librariesAnalyses of crowdsourcing in libraries from an information and communication perspectiveWhy do libraries have recourse to crowdsourcing and what are the necessary conditions?Why do Internet users contribute? Taxonomy of Internet users’ motivationsFrom symbolic recompense to concrete remunerationCommunication for recruiting contributorsCommunity management for keeping contributorsThe quality and reintegration of produced dataThe evaluation of crowdsourcing projectsConclusions on collective intelligence and the wisdom of crowdsBibliographyConservation and Promotion of Cultural Heritage in the Context of the Semantic WebIntroductionThe knowledge resources and models relative to cultural heritageMetadata normsDublin CoreLIDOMODSEADEDMControlled vocabulariesLexical databasesOntologiesDifficulties and possible solutionsData acquisitionThe acquisition of data from different sourcesData enrichment and fusionContradictory data and multiple perspectivesInformation modelingDomain termsUseThe user’s level of knowledge on the semantic webThe user’s level of prior knowledge in the domainThe nature of the terminology that will be used in the systemInteroperabilityConclusionBibliographyOn Knowledge Organization and Management for Innovation: Modeling with the Strategic Observation Approach in Material ScienceGeneral introductionResearch context: KM and innovation processJean Lamour InstituteTechnology and Knowledge Transfer Office (or CC-VIT)Methodological approachObservation and accumulation of knowledge for innovationMASKЗ.1.2. C-K theoryStrategic observation and extraction of knowledge: towards an ontological approachCorpus analysis strategyIdentification of a cognitive grammarINA corpusINIST’s corpus on “ChroniSante”Nano corpus of the "Club nanoMetrologie”Creation of a class hierarchy (of knowledge)Conceptual modeling for innovation: technological transferImplementationsCorpus specificitiesNLP engineering applied to the corpus“Polyfunctionalities” favoring strategic observationConclusion: principal results and recommendationsBibliography
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