Papers and Reports on the Project








Engineering Uncertain Time for its Practical Integration in Ontologies

Target: KNOWLEDGE-BASED SYSTEMS

Abstract: Ontologies are commonly used as forms of knowledge representation. However, they still presenting limitations to model domains that require broad forms of temporal reasoning. Our study was motivated by the real need to extend static ontologies with diverse time concepts, relations and properties. Therefore, it uses the n-ary relations as basis for temporal structures, which minimally modifies the original ontology, and extends this structure with a generic set of time concepts (moments and intervals), time concept properties (precise and uncertain), time relations (interval-interval, interval-moment, and moment-moment), and time relation properties (qualitative and quantitative). We divided the contributions of this study in three parts. Firstly, we present the ontological temporal model (concepts, properties and axioms) and how it can be integrated to static ontologies. Secondly, we discuss the creation of axioms that give the semantics for precise temporal elements. Finally, as our main contribution, these ideas are extended with axioms for uncertain time. All these elements follow the OWL DL standards so this proposal is still compatible with the main ontology editors (e.g. Stanford Protégé) and reasoners (e.g. Oxford HermiT) currently available.

Status: Submitted, 100%.

Toward Deeper Interpretations of WHOQOL Results: the Sleep and Rest Case Example

Target: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

Abstract: WHOQOL is a World Health Organization instrument for measuring the quality of life (QoL) of individuals and support the prediction of their future health problems. While this instrument allows a multidimensional QoL assessment, its Likert-type scale questionnaire is very limited when the aim is to obtain a deeper understanding of its final results. This paper proposes a holistic knowledge-based strategy to support the interpretation of WHOQOL resuls, which relies on data collected by means of mobile sensors and applications. This holistic view extends the possible interpretations of WHOQOL results, since such representations include the relations between facts. As a case example, we demonstrate the application of this strategy considering the Sleep and Rest WHOQOL facet as the core element, together with its relations to a subset of WHOQOL facets. All the representations follow the Description Logic (DL) version of the W3C standard Web Ontology Language (OWL 2), which allows the use o SPARQL queries to support the interpretation of the data and answer the competency questions defined over the specification of our represenation.

Status: In preparation, 85%.

Health Debt - Is it Possible to Quantify?

Target: 44th ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY

Abstract: Health issues emerge from a continuous lack of quality of life (QoL). This paper introduces the term "health debt" as an economic metaphor to represent the quantification of this lack regarding our health. After its characterization, we present a theoretical framework to quantify this debt, discussing a practical instantiation of such a framework that relies on mHealth data, deep learning techniques, and genetic algorithms. These fundaments open new research opportunities to support the adoption of preventive medicine based on QoL data.

Status: In preparation, 10%. (Research poster paper)

Inductive-based Strategies to Measure Health Debt

Target: EXPERT SYSTEMS WITH APPLICATIONS

Abstract: ...

Status: In preparation, 1%.

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    QoL Technologies Lab

    Promotes Information and Communications Technologies (ICT) to improve the QoL of individuals through inter-disciplinary reseach.

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    University of Geneva

    Fondée en 1559, l'Université de Genève jouit d'un rayonnement international privilégié et cultive son ouverture au monde.

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    European Commission

    This project is part of the Horizon 2020 Marie Sklodowska-Curie actions (MSCA), a research and innovation initiative of the European Commission.

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