Project description
New mobile strategies for improved quality of life
Technology supporting mobile quality of life assists and supports individuals to improve daily living circumstances. It brings together multiple data that must be integrated and organised in ontologies to enable knowledge-based reasoning and interventions through mobile applications. However, as the multidimensional concept of quality of life also includes evolvements in time, the present ontology architecture needs to be adapted to temporal aspects. The EU-funded Onto-mQoL project will design a theoretical framework providing extensions for temporal representations for an ontology-based reasoning engineering method of guiding mobile quality of life to new temporal versions.
Objective
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.
Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
1211 Geneve
Switzerland