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              <p>Manual ontology engineering and maintenance is a difficult task that requires significant effort from the ontologist to identify and structure domain knowledge. Automatic ontology learning makes this task easier, especially through the use of text and natural language processing tools. In this paper, we present DYNAMO, a tool based on an Adaptive Multi-Agent System (AMAS), which aims at assisting ontologists during ontology design and evolution. This work is carried out in the context of the ANR DYNAMO (Dynamic Ontology for Information Retrieval) project. DYNAMO is based on text extracted terms, lexical relations and provides an AMAS based module to support ontology co-construction. The ontologist interacts with the tool by modifying the ontology (move, add, change concepts, terms and/or relationships). Then Dynamo adapts to these changes and proposes new evolutions to improve the ontology. After describing the context of this work and the principles of DYNAMO, we report an experiment where DYNAMO is used to enrich an ontology from a corpus describing software bug reports. We end by analyzing these results and identifying key issues to improve the tool.</p>
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              <p>La construction et la maintenance manuelle d'ontologies est une tâche lourde demandant des efforts importants de la part de l'ontographe pour dégager et structurer les connaissances d'un domaine. La construction automatique d'ontologies cherche à faciliter cette tâche, en particulier par l'utilisation de textes et d'outils de traitement automatique des langues. Dans cet article, nous présentons DYNAMO, un logiciel s'appuyant sur la technologie des Systèmes Multi-Agents Adaptatifs (SMA) pour construire et maintenir des ontologies à partir de textes. Ce travail est réalisé dans le contexte du projet ANR DYNAMO (DYNAMic Ontology for information retrieval). DYNAMO s'appuie sur les résultats d'extracteurs de termes et de relations lexicales ainsi qu'un module de co-construction d'ontologies basé sur un SMA. L'ontographe interagit avec l'outil en modifiant l'ontologie (déplacement, ajout, modification de concepts, de termes et/ou de relations). En fonction de ces modifications, l'outil en propose d'autres à l'ontographe pour améliorer l'ontologie. Après une présentation du contexte de ce travail et l'exposé des principes de DYNAMO, nous montrons une expérimentation d'enrichissement d'ontologie à partir d'un corpus de fiches de pannes informatiques. Nous analysons ensuite ces résultats et en dégageons des perspectives pour l'améliorer.</p>
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