Conférence
Chapitres
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Lieu de réalisation
Fondation Maison des Sciences de l'Homme, 190 avenue de France, 75013 Paris, France
Langue :
Anglais
Crédits
Elisabeth de PABLO (Réalisation), Anne DELRIEU (Réalisation), Neli DOBREVA (Réalisation), FMSH-ESCoM (Production), Toyin Oguntunde (Intervention)
Conditions d'utilisation
Tous droits réservés.
DOI : 10.60527/6hfw-zt32
Citer cette ressource :
Toyin Oguntunde. FMSH. (2013, 11 octobre). Dynamic Role Based Model for Collaborative Information Retrieval by Toyin OGUNTUNDE , in Contextes, langues et cultures dans l’organisation des connaissances - IXe Colloque ISKO – France 2013. [Vidéo]. Canal-U. https://doi.org/10.60527/6hfw-zt32. (Consultée le 6 juillet 2025)
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Dynamic Role Based Model for Collaborative Information Retrieval by Toyin OGUNTUNDE

Réalisation : 11 octobre 2013 - Mise en ligne : 24 mars 2014
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Descriptif

Dynamic Role Based Model for Collaborative Information Retrieval It is a common understanding that a careful collaboration can help a team produce something that is more than the sum of individual participants’ contributions in solving a problem. People irrespective of their skills, expertise often collaborate when completing information seeking especially on complex missions. Quiet a number of specialized tools and systems have been developed to support such behavior. Some of the systems often allow for distribution of search results among collaborators doing research alliance through division of labour. Dynamic role based model for collaborative information retrieval helps to strengthens prior work on division of labour in collaborative information seeking systems by reviewing four approaches in creating division of labour with the view to produce a model that implements a sequential means of consolidating these approaches. Having in mind that information relevance is subjective with respect to user’s intention, we extended the role based approach by creating a forum for research evaluators while conclusively, we demonstrated a division of labour collaborative information retrieval life cycle that is fit to aid a concise, precise and effective retrieval in collaborative information seeking processes

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