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This paper deals with the use of ontologies for Information Retrieval. Roughly, the proposed approach consists in identifying important concepts in documents using two criterions, co-occurrence and semantic relatedness and then disambiguating them via an external general purpose ontology, namely WordNet. Matching the ontology and a document results in a set(More)
Modelling semantic relationships from their identification in a corpus requires a cross-disciplinary collaboration between linguists and knowledge engineers. In particular, both of the two disciplines should be involved in defining patterns that characterise the linguistic behaviours revealing a given relationship in a corpus, and in tuning operational(More)
Manual ontology development and evolution are complex and time-consuming tasks, even when textual documents are used as knowledge sources in addition to human expertise or existing ontologies. Processing natural language in text produces huge amounts of linguistic data that need to be filtered out and structured. To support both of these tasks, we have(More)
1 La plateforme DAFOE Depuis son émergence, au début des années 1990, dans les recherches en modélisation de connaissances, la notion d'ontologie s'est rapidement diffusée dans un grand nombre de domaines de recherche en informatique. Compte tenu du caractère très prometteur de cette notion, de nombreux travaux ont visé à permettre son utilisation dans des(More)
The range of terminology based products required to satisfy emerging needs for document and knowledge management is significantly broadening. In this paper, we assert that each application type implies to set up dedicated terminological products from texts or other domain resources. We propose a unifying methodological framework as well as a set of software(More)
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and exploring takes place in a domain-dependent semantic context. A given context is described through its vocabulary organised along hierarchies that structure the information space.(More)
This paper addresses an important problem related to the use of semantics in IR. It concerns the representation of document semantics and its proper use in retrieval. The approach we propose aims at representing the content of the document by the best semantic network called document semantic core in two main steps. During the first step concepts (words and(More)
Les méthodes classiques de construction automatiques d'ontologies à partir de textes exploitent le texte proprement dit. Nous étendons ces approches en prenant en compte la structure du texte, élément porteur d'information. Pour cela, nous nous basons sur des documents de spécifications de bases de données au format XML, pour lesquels le découpage(More)