À la Une

Soutenance de thèse Vincenzo Daponte

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M. Vincenzo Daponte soutiendra en anglais, en vue de l'obtention du grade de docteur en systèmes d'information de la Faculté d'économie et de management (GSEM), sa thèse intitulée:

Analysis and Specification of Scientific Knowledge Visualization techniques

Date: Vendredi 13 septembre 2019 à 10h30

Lieu: CUI / Battelle bâtiment A, salle de cours 301-302 (2ème étage)

 

Jury:

  • Prof. Gilles Falquet (Directeur, Université de Genève)
  • Dr. Andrea Bocci (Co-directeur, CERN) 

Résumé:

Scientific knowledge embraces all the notions of the scientific subjects, such as mathematics, physics, chemistry and more. This knowledge whether recent or well established requires to be visualized to various users and for different tasks. The purpose of this work is to improve the design and development process of scientific knowledge visualization systems by enabling the creation of User interface (UI) prototypes from the scientific knowledge to visualize. To achieve this purpose a methodology is proposed that is punctuated in formal steps and employs conceptual and practical tools. How to formally represent and to visualize this knowledge are the first research questions addressed by two reference models, the Scientific Knowledge Model (SKM) and the Visual Model (VM). The SKM exposes the formalism, the concepts and the relations among them regarding the knowledge represented; while the VM groups the visual elements with their properties used to present the knowledge to the user. The association of these two models is achieved by a mapping language designed to declare abstract representations of the desired UI prototypes. Algorithms to transform these abstract representations into concrete UI prototypes have been also designed and developed. The methodology and the tools employed have been tested using various scientific knowledge sources and the results, including the real use case of the CERN CMS High Level Trigger configuration management system, are presented.