Interroger le texte scientifique

Abstract : Textual documents are familiar and prominent information vehicles in our information society. With the advent of online platforms and social media, text is multi-faceted, embodied as web pages, blog posts, comments, tweets, tags, and so on. Readers who used to be passive consumers of information are nowadays also information producers. Interpersonal information flows weave online social networks spanning our relational circles and way beyond. In this context, a wide array of subtleties need to be incorporated into any models of information retrieval. These include the nature and format of the texts, the spatio-temporal contexts of the users, and their intentions (e.g., to inform, share, complement, criticise or correct). Part one of this dissertation synthesises my contributions to Information Retrieval. I modelled the above factors in order to assess their effects on searching text in the social media. My research programme developed ways of questioning texts in order to reveal information on their contents, authors and readers. Scientific texts were used because of the richness of their contents and their associated metadata. Part two of this dissertation presents my contributions to Scientometrics, namely the quantitative study of science and innovation. I explore scientific texts and their underlying networks (e.g., lexicons, references, authors, institutions) in order to reveal value-added knowledge that sheds light on how knowledge in science is created, communicated, and shared. This dissertation lays the groundwork for an interdisciplinary research programme in Computing, Scientometrics and the Sociology of Science. It envisions mining scientific literature in order to ease access to it (a link with Information Retrieval) as well eliciting levers behind the emergence and dynamics of social structures and knowledge in science (a link with Scientometrics).
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Habilitation à diriger des recherches
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Guillaume Cabanac. Interroger le texte scientifique. Réseaux sociaux et d'information [cs.SI]. Université Toulouse 3 - Paul Sabatier, 2016. ⟨tel-01413878⟩

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