Dialogue graphique intelligent, fondé sur une ontologie, pour une prothèse de mémoire

Abstract : In the context of this thesis, we propose a “smart” memory prosthesis, called CAPTAIN MEMO, to help Alzheimer’s disease patients to palliate mnesic problems. It is based on a temporal, fuzzy and multilingual ontology named MemoFuzzyOnto. It provides accessible user interfaces to this demographic. To design these interfaces, we propose a methodology named InterfaceToAlz which serves as an information base for guiding and evaluating the design of user interfaces for Alzheimer’s disease patients. It identifies 146 design guidelines.Besides, we propose an ontology visualization tool called Memo Graph which offers an accessible and understandable visualization to Alzheimer’s disease patients. In fact, in the context of CAPTAIN MEMO, there is a need to generate the patient entourage/family tree from its personal data structured according to MemoFuzzyOnto. Memo Graph is based on our design guidelines and our approach, named Incremental Key-Instances Extraction and Visualisation, to extract and visualize descriptive instance summarizations from a given ontology and generate “summary instance graphs” from the most important data. It supports Linked Data visualization and scaling.Furthermore, we propose a typology of the imperfection of the data entered (mainly due to the memory discordance caused by this disease), and a methodology to allow false data entry. We propose a believability model and an approach called Data Believability Estimation for Applications to Alzheimer Patients to estimate qualitatively and quantitatively the believability of each data entered. Finally, CAPTAIN MEMO allows imprecise time intervals entry. We propose two approaches: a crisp-based approach and a fuzzy-based approach. The first one uses only crisp standards and tools and is modeled in OWL 2. The second approach is based on fuzzy sets theory and fuzzy tools and is modeled in Fuzzy-OWL 2. For the two approaches, we extend the 4D-fluents model to represent imprecise time intervals and qualitative interval relations. Then, we extend the Allen’s interval algebra to compare imprecise time interval in the context of MemoFuzzyOnto. Our contributions are implemented and evaluated. We evaluated the service of CAPTAIN MEMO which has the aim to stimulate the patient’s memory, the accessibility of its user interfaces, the efficiency of our approach to estimate quantitatively the believability of each data entered and the visualization generated with Memo Graph. We also evaluated Memo Graph with domain expert users.
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Submitted on : Monday, October 1, 2018 - 10:44:14 AM
Last modification on : Saturday, December 21, 2019 - 3:50:46 AM

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Fatma Ghorbel. Dialogue graphique intelligent, fondé sur une ontologie, pour une prothèse de mémoire. Bio-informatique [q-bio.QM]. Conservatoire national des arts et metiers - CNAM; Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2018. Français. ⟨NNT : 2018CNAM1181⟩. ⟨tel-01884550⟩

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