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Approche de recherche intelligente fondée sur le modèle des Topic Maps : application au domaine de la construction durable

Abstract : The research work in this thesis is related to Topic Map construction and their use in semantic annotation of web resources in order to help users find relevant information in these resources. The amount of information sources available today is very huge and continuously increasing, for that, it is impossible to create and maintain manually a Topic Map to represent and organize all these information. Many Topic Maps building approaches can be found in the literature [Ellouze et al. 2008a]. However, none of these approaches takes as input multilingual document content. In addition, although Topic Maps are basically dedicated to users navigation and information search, no one approach takes into consideration users requests in the Topic Map building process. In this context, we have proposed ACTOM, a Topic Map building approach based on an automated process taking into account multilingual documents and Topic Map evolution according to content and usage changes. To enrich the Topic Map, we are based on a domain thesaurus and we propose also to explore all potential questions related to source documents in order to represent usage in the Topic Map. In our approach, we extend the Topic Map model that already exists by defining the usage links and a list of meta-properties associated to each Topic, these meta-properties are used in the Topic Map pruning process. In our approach ACTOM, we propose also to precise and enrich semantics of Topic Map links so, except occurrences links between Topics and resources, we classify Topic Map links in two different classes, those that we have called “ontological links” and those that we have named “usage links”.
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Nebrasse Ellouze. Approche de recherche intelligente fondée sur le modèle des Topic Maps : application au domaine de la construction durable. Recherche d'information [cs.IR]. Conservatoire national des arts et metiers - CNAM; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie), 2010. Français. ⟨NNT : 2010CNAM0736⟩. ⟨tel-00555929⟩

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