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

In this thesis, we have proposed ACTOM, a Topic Map building approach based on an automated processtaking 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 to explore all potentialquestions related to source documents on order to represent usage in the Topic Map. In our approach, weextend the Topic Map model that already exists by defining the usage links and a list of meta-propertiesassociated to each Topic, these meta-properties are used in the Topic Map evolution process. In our approachACTOM, we propose also to precise and enrich semantics of Topic Map links so, except occurrences linksbetween 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”. We have defined an automated and evolutivepruning process to manage the Topic Map evolution and handle all possible changes related to content andusage of the Topic Map.