Description du projet
De nouvelles stratégies mobiles pour améliorer la qualité de vie
La technologie au service de la qualité de vie mobile aide et soutient les personnes afin d’améliorer les circonstances de la vie quotidienne. Elle réunit de nombreuses données qui doivent être intégrées et organisées en ontologies pour permettre des interventions et un raisonnement fondés sur les connaissances par le biais d’applications mobiles. Toutefois, étant donné que la «qualité de vie» est un concept multidimensionnel qui comprend également des évolutions dans le temps, l’architecture actuelle des ontologies doit être adaptée aux aspects temporels. Le projet Onto-mQoL, financé par l’UE, concevra un cadre théorique prévoyant des extensions pour les représentations temporelles afin d’atteindre une méthode d’ingénierie de raisonnement fondée sur l’ontologie pour orienter la qualité de vie mobile dans de nouvelles versions temporelles.
Objectif
The concept of Quality of Life (QoL) involves several dimensions, such as physical health and psychological state, which can be assessed by mobile resources and integrated to support holistic processes of reasoning and interventions. Ontologies are the main approach to organise and integrate such data in the form of knowledge. However, while temporal aspects are usually present in the health domain, modelling information evolving time/events in ontologies is a complex problem since temporal relations are ternary and cannot be directly handled by ontology languages. This lack of expressiveness restricts the power of the reasoning processes because several time aspects, which are usually embedded in the QoL domain, cannot be employed. This project aims to design a conceptual framework for representation and reasoning about temporal aspects, associated with an ontological engineering method to guide the use of this novel framework during the process of converting static ontologies to their temporal versions. This approach will be used over the development of four case studies: (1) general QoL ontology to represent the data acquired by the Quality of Life technologies lab over its longitudinal mobile assessments; (2) specialization of the QoL ontology for the aging population; (3) use of the previous ontologies as background knowledge to support the generation of explanations for inductive reasoning; and (4) use of the previous ontologies for QoL deduction-based interventions. The validation of these ontologies and their applications will consider technical (identification of inconsistencies and contradiction) and empirical (ability to provide answers for competency questions) methods. As the main expected result, this project intends to deliver a pragmatic strategy to support the creation of knowledge-based resources that can in fact improve the QoL of the general public and be adapted to cover the particularities of specific population features.
Mots‑clés
Programme(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
1211 Geneve
Suisse