Collective Intelligence and Digital Archives : Towards Knowledge Ecosystems.

Cover -- Title Page -- Copyright -- Contents -- 1. Ecosystems of Collective Intelligence in the Service of Digital Archives -- 1.1. Digital archives -- 1.2. Collective intelligence -- 1.3. Knowledge ecosystems -- 1.4. Examples of ecosystems of knowledge -- 1.4.1. Modeling digital archive interpretation -- 1.4.2. Editing archives via the semantic web -- 1.4.3. A semantic platform for analyzing audiovisual corpuses -- 1.4.4. Digital libraries and crowdsourcing: a state-of-the-art -- 1.4.5. Conservation and promotion of cultural heritage -- 1.4.6. Modeling knowledge for innovation -- 1.5. Solutions -- 1.6. Bibliography -- 2. Tools for Modeling Digital Archive Interpretation -- 2.1. What archives are we speaking of? Definition, issues and collective intelligence methods -- 2.1.1. Database archives, evolution of a concept and its functions -- 2.1.2. The exploitation of digital archives in the humanities -- 2.1.3. The specific case of visualization tools -- 2.2. Digital archive visualization tools: lessons from the Biolographes experiment -- 2.2.1. Tools for testing -- 2.2.2. Tools for visualizing networks: DBpedia, Palladio -- 2.2.3. Multi-purpose tools (Keshif, Table) -- 2.3. Prototype for influence network modeling -- 2.3.1. Categorization of relationships -- 2.3.2. Assisted influence network entry -- 2.4. Limits and perspectives -- 2.4.1. Epistemological conflicts -- 2.4.2. The digital "black box"? -- 2.4.3. From individual expertise to group intelligence -- 2.5. Conclusion -- 2.6. Bibliography -- 3. From the Digital Archive to the Resource Enriched Via Semantic Web: Process of Editing a Cultural Heritage -- 3.1. Influencing the intelligibility of a heritage document -- 3.2. Mobilizing differential semantics -- 3.3. Applying an interpretive process to the archive -- 3.4. Assessment of the semiotic study.

3.5. Popularizing the data web in the editorialization approach -- 3.6. Archive editorialization in the Famille™ architext -- 3.7. Assessment of the archive's recontextualization -- 3.8. Bibliography -- 4. Studio Campus AAR: A Semantic Platform for Analyzing and Publishing Audiovisual Corpuses -- 4.1. Introduction -- 4.2. Context and issues -- 4.2.1. Archiving and appropriation of audiovisual data -- 4.2.2. General presentation of the Campus AAR environment -- 4.3. Editing knowledge graphs - the Studio Campus AAR example -- 4.3.1. Context -- 4.3.2. Representations of OWL2 restrictions -- 4.3.3. Resolution of OWL2 restrictions -- 4.3.4. Relaxing constraints -- 4.3.5. Classification of individuals -- 4.3.6. Opening and interoperability with the web of data -- 4.3.7. Graphical interfaces -- 4.4. Application to media analysis -- 4.4.1. Model of audiovisual description -- 4.4.2. Reference works and description models -- 4.4.3. Description pattern -- 4.4.4. The management of contexts -- 4.4.5. Suggestion of properties -- 4.4.6. Suggestion of property values -- 4.4.7. Opening on the web of data -- 4.5. Application to the management of individuals -- 4.5.1. Multi-ontology description -- 4.5.2. Faceted browsing -- 4.5.3. An individual's range -- 4.6. Application to information searches -- 4.6.1. Semantic searches -- 4.6.2. Transformation of SPARQL query graphs -- 4.6.3. Transformation of OWL2 axioms into SPARQL -- 4.6.4. Interface -- 4.7. Application to corpus management -- 4.8. Application to author publication -- 4.8.1. Publication ontologies -- 4.8.2. Transformation engine -- 4.8.3. Final product -- 4.8.4. Opening on the web of data -- 4.8.5. Graphical Interface -- 4.9. Conclusion -- 4.10. Bibliography -- 5. Digital Libraries and Crowdsourcing: A Review -- 5.1. The concept of crowdsourcing in libraries -- 5.1.1. Definition of crowdsourcing.

5.1.2. Historic origins of crowdsourcing -- 5.1.3. Conceptual origins of crowdsourcing -- 5.1.4. Critiques of crowdsourcing. Towards the uberization of libraries? -- 5.2. Taxonomy and panorama of crowdsourcing in libraries -- 5.2.1. Explicit crowdsourcing -- 5.2.2. Gamification and implicit crowdsourcing -- 5.2.3. Crowdfunding -- 5.3. Analyses of crowdsourcing in libraries from an information and communication perspective -- 5.3.1. Why do libraries have recourse to crowdsourcing and what are the necessary conditions? -- 5.3.2. Why do Internet users contribute? Taxonomy of Internet users' motivations -- 5.3.3. From symbolic recompense to concrete remuneration -- 5.3.4. Communication for recruiting contributors -- 5.3.5. Community management for keeping contributors -- 5.3.6. The quality and reintegration of produced data -- 5.3.7. The evaluation of crowdsourcing projects -- 5.4. Conclusions on collective intelligence and the wisdom of crowds -- 5.5. Bibliography -- 6. Conservation and Promotion of Cultural Heritage in the Context of the Semantic Web -- 6.1. Introduction -- 6.2. The knowledge resources and models relative to cultural heritage -- 6.2.1. Metadata norms -- 6.2.2. Controlled vocabularies -- 6.2.3. Lexical databases -- 6.2.4. Ontologies -- 6.3. Difficulties and possible solutions -- 6.3.1. Data acquisition -- 6.3.2. Information modeling -- 6.3.3. Use -- 6.3.4. Interoperability -- 6.4. Conclusion -- 6.5. Bibliography -- 7. On Knowledge Organization and Management for Innovation: Modeling with the Strategic Observation Approach in Material Science -- 7.1. General introduction -- 7.2. Research context: KM and innovation process -- 7.2.1. Jean Lamour Institute -- 7.2.2. Technology and Knowledge Transfer Office (or CC-VIT) -- 7.3. Methodological approach -- 7.3.1. Observation and accumulation of knowledge for innovation.

7.3.2. Strategic observation and extraction of knowledge: towards an ontological approach -- 7.3.3. Creation of a class hierarchy (of knowledge) -- 7.4. Conceptual modeling for innovation: technological transfer -- 7.4.1. Implementations -- 7.4.2. Corpus specificities -- 7.4.3. NLP engineering applied to the corpus -- 7.4.4. "Polyfunctionalities" favoring strategic observation -- 7.5. Conclusion: principal results and recommendations -- 7.6. Bibliography -- List of Authors -- Index -- Other titles from iSTE in Information Systems, Web and Pervasive Computing -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.