LIMPENS , Freddy

This paper presents our approach to collaborative and semi- automated semantic structuring of folksonomies. Tags freely provided by users of online communities are not semanti- cally linked, and this hinders significantly the potentials for browsing and exploring these data. We propose a socio- technical system combining automatic handlings of...

Ces dernières années, le "tagging social" s'est imposé au sein du Web 2.0 comme le principal moyen de classification de données en très grand nombre. Néanmoins, l'emploi pour la classification d'ensembles de tags non contrôlés, appelés folksonomies, pose plusieurs problèmes : le problème de l'ambiguïté (un tag dénotant plusieurs concepts), le...

Tags freely provided by users of social tagging services are not explicitly semantically linked, and this significantly hinders the possibilities for browsing and exploring these data. On the other hand, folksonomies provide great opportunities to bootstrap the construction of thesauri. We propose an approach to semantic enrichment of...

Les tags fournis par les utilisateurs des plateformes de tagging social ne sont pas explicitement liés sémantiquement, et ceci limite considérablement les possibilités d'exploitation de ces données. Nous présentons dans cet article notre approche pour l'enrichissement sémantiques des folksonomies qui intègre une combinaison de traitements...

Social tagging systems have recently became very pop- ular as a means to classify large sets of resources shared among on-line communities. However, the folksonomies re- sulting from the use of these systems revealed limitations : tags are ambiguous and their spelling may vary, and folk- sonomies are difficult to exploit in order to retrieve or...

The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring these data. To overcome these limitations, we...

The advent of tagging and folksonomies for organizing shared ressources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring these data. To overcome these limitations, we...

Social tagging systems have recently become very popular as a means to classify large sets of resources shared among on-line communities over the social Web. However, the folksonomies resulting from the use of these systems revealed limitations: tags are ambiguous and their spelling may vary, and folksonomies are difficult to exploit in order...

Les technologies de la nume ́risation et de la communication ont permis l'e ́mergence d'un nouveau mode`le industriel de la culture, que Stiegler (2007) appelle l'e ́conomie de la contribution. La nume ́risation globale des processus de publication et de cre ́ation des documents, associe ́e a` la mise en re ́seaux du Web, ont permis de remettre...

The advent of tagging and folksonomies for organizing shared resources on the social Web brought promising opportunities to help communities of users capture their knowledge. However, the lack of semantics, or the spelling variations between tags lowers the potentials for browsing and exploring these data. To overcome these limitations, we...

Current tag modelling does not fully take into account the rich and diverse nature tags, as signs, can take on. We propose an ontology of tags in which tags are modelled as named graphs. These named graphs are made of a resource linked to a "sign" which can be any resource reachable on the Web (an ontology concept, an image, etc.). The purpose...

Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an ontology, NiceTag, whose primitives are " tag actions " modeled with RDF named graphs. This mechanism allows us to type,...

Current tag models do not fully take into account the rich and diverse nature of tags. Each model makes different partial assumptions as to the definition and attributes a tag should receive. In this paper we propose an ontology, NiceTag, whose primitives are "tag actions" modeled with RDF named graphs. This mechanism allows us to type,...

One of the challenges of social network analysis (SNA) is to understand and exploit on-line social interactions. Research in Semantic Web has provided models to leverage the richness of these interactions that we use to represent these social networks. Classical social network analysis methods have been applied to these semantic representations...

The ISICIL initiative (Information Semantic Integration through Communities of Intelligence onLine) mixes viral new web applications with formal semantic web representations and processes to integrate them into corporate practices for technological watch, business intelligence and scientific monitoring. The resulting open source platform...

In this chapter we present our approach to analyzing such semantic social networks and capturing collective intelligence from collaborative interactions to challenge requirements of Enterprise 2.0. Our tools and models have been tested on an anonymized dataset from Ipernity.com, one of the biggest French social web sites centered on multimedia...

this is a collective position paper presenting the vision, motivations and approaches of the ISICIL project. This project proposes to study and to experiment with the usage of new tools to assist tasks of corporate intelligence and technical watch. These tools rely on web 2.0 advanced interfaces (blog, wiki, social bookmarking) for interactions...