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Document and item-based modeling: a hybrid method for a socio-semantic web

Jean-Pierre Cahier 1 Xiaoyue Ma 1 l'Hédi Zaher 2
1 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
2 Cogniva Europe
Abstract : The paper discusses the challenges of categorising documents and "items of the world" to promote knowledge sharing in large communities of interest. We present the DOCMA method (Document and Item-based Model for Action) dedicated to end-users who have minimal or no knowledge of information science. Community members can elicit structure and indexed business items stemming from their query including projects, actors, products, places of interest, and geo-situated objects. This hybrid method was applied in a collaborative Web portal in the field of sustainability for the past two years.
Keywords : Document Socio-Semantic Web Viewpoints Topic Map Pragmatic Web Folksonomy Web2.0 Method
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Conference papers
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https://hal-utt.archives-ouvertes.fr/hal-02882013
Contributor : Daniel Gavrysiak <>
Submitted on : Friday, June 26, 2020 - 11:46:23 AM
Last modification on : Saturday, June 27, 2020 - 3:32:21 AM

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Jean-Pierre Cahier, Xiaoyue Ma, l'Hédi Zaher. Document and item-based modeling: a hybrid method for a socio-semantic web. DocEng2010: ACM Symposium on Document Engineering, Sep 2010, Manchester, United Kingdom. pp.243, ⟨10.1145/1860559.1860614⟩. ⟨hal-02882013⟩

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