Ontology and Rules-Based Model to Reason on Useful Contextual Information for Providing Appropriate Services in U-Healthcare Systems

Amina Hameurlaine , Kenza Abdelaziz (1) , Philippe Roose (2, 1) , Mohamed-Khireddine Kholladi (3)

1 LIUPPA - Laboratoire Informatique de l'Université de Pau et des Pays de l'Adour
2 UPPA - Université de Pau et des Pays de l'Adour
3 Misc

In our days, the development of computing technologies has facilitated the daily life since the environment is improved by its different applications. Pervasive computing is one of the most efficient computing areas which offer several smart systems aiming to provide various significant services in our life. Context awareness, in general and context-aware adaptation in particular, is a central aspect of pervasive computing systems, characterizing their ability to adapt and perform tasks based on context. In this paper, we describe our proposal ontology and rules-based model for representing and reasoning on useful contextual information. This model permits to provide appropriate services in ubiquitous healthcare systems which are one of the main application areas for pervasive computing that allow monitoring the health and wellbeing of patients anytime and anywhere.

Mots clés: context modeling; inferences rules; context reason- ing; ontology; Pervasive computing; U-Healthcare; context-awareness

Domaines: Autre [cs.OH]; Informatique [cs]

Amina Hameurlaine, Kenza Abdelaziz, Philippe Roose, Mohamed-Khireddine Kholladi. Ontology and Rules-Based Model to Reason on Useful Contextual Information for Providing Appropriate Services in U-Healthcare Systems. Intelligent Distributed Computing VIII, Springer International Publishing, Studies in Computational Intelligence, pp.301-310, 2015, ⟨10.1007/978-3-319-10422-5_32⟩. ⟨hal-02464153⟩