Discovering Implicit Communities in Web forums through Ontologies

Abstract : Being a Community manager is an emerging employment in social Web companies. His or her role is to monitor communities on a devoted social website, in order to understand new trends or behaviours. He or she also has to discover and attract new potential users of the website in external resources like web forums, that are not necessarily on the same topics nor explicitly defined. In this paper we propose a scalable protocol to monitor on-line communications, like web forums, walls or twits. We provide an analysis method to extract implicit communities and user interests based on the semantics of data exchange and the structure of communications. The method is parameterized by a target vocabulary expressed as an ontology, in order to focus on relevant communities.
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Web Intelligence and Agent Systems : An International Journal (WIAS), 2012, 10 (1), pp.93-103. <10.3233/WIA-2012-0234>
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-00803135
Contributeur : Damien Leprovost <>
Soumis le : jeudi 21 mars 2013 - 10:58:33
Dernière modification le : jeudi 9 février 2017 - 15:48:26
Document(s) archivé(s) le : samedi 22 juin 2013 - 04:00:42

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Damien Leprovost, Lylia Abrouk, David Gross-Amblard. Discovering Implicit Communities in Web forums through Ontologies. Web Intelligence and Agent Systems : An International Journal (WIAS), 2012, 10 (1), pp.93-103. <10.3233/WIA-2012-0234>. <hal-00803135>

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