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                <term xml:lang="en">Knowledge graph</term>
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                <term xml:lang="en">DBpedia</term>
                <term xml:lang="en">Semantic textual similarity</term>
                <term xml:lang="en">Topic modeling</term>
                <term xml:lang="en">Citizen participation</term>
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              <p>Online consultation platforms have improved the possibilities for citizens to have an input on public decision making. However, and especially at large scale, identification of the topics discussed and entities evoked has been identified as difficult for both citizens and platform administrators. In this paper, we leverage topic modeling, Named Entity Recognition and Linking and Semantic Textual Similarity to build a knowledge graph representing the different contributions to the République Numérique online citizen consultation in French language. The generated graph links the different proposals to topics identified in the consultation and to relevant DBpedia resources. The model proposed for representation of citizen consultations as knowledge graphs simplifies the retrieval of proposals focused on specific topics or mentioning a given entity. It also allows us to improve contextualization of important words in proposals by linking them to short definitions extracted from Wikipedia.</p>
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              <p>Les plateformes de consultation en ligne ont amélioré les possibilités offertes aux citoyens d'influencer les décisions publiques. Cependant, et plus particulièrement à grande échelle, l'identification des sujets discutés et des entités évoquées a été considérée comme une tâche difficile pour les citoyens ainsi que pour les administrateurs des plateformes. Dans cet article, en prenant appui sur des méthodes de modélisation de sujets, de Reconnaissance et de Liaison d'Entités Nommées (NER/NEL) et de calcule de Similarité Textuelle Sémantique (STS) pour construire un graphe de connaissances représentant les différentes contributions à la consultation en ligne "République Numérique" en langue française. Le graphe généré relie les différentes propositions à des sujets identifiés dans la consultation et aux ressources DBpedia pertinentes. Le modèle proposé pour la représentation des consultations citoyennes sous la forme de graphes de connaissances simplifie l'identification de propositions sur un ou plusieurs sujets donnés ou mentionnant une entité en particulier. Il nous permet également d'améliorer la contextualisation de concepts importants dans les propositions en les associant à des définitions courtes extraites de Wikipédia.</p>
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