An Autonomic Semantic Approach for the Detection and Monitoring of Diseases - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

An Autonomic Semantic Approach for the Detection and Monitoring of Diseases

(1) , , (2) , (3)
1
2
3

Abstract

Currently, everybody wish to access to applications from a wide variety of devices (PC, Tablet, Smartphone, Set-top-box, etc.). At home, users interact with many devices and get access to many multimedia oriented documents (hosted on local drives, on cloud storage, online streaming, etc.) in various situations with multiple (and sometimes at the same time) devices. The diversity and heterogeneity of users profiles and service sources can be a barrier to discover the available semantic equivalent services with different QoS that can come from anywhere from the home or the city. We particularly focus on context-aware mHealth applications and propose an ontology-based architecture, which provides adapted services that help users to broadcast multimedia documents and use them thanks to interactive services in order to maintain old people at home and achieve their preferences. In order to validate our proposal, we have used the Semantic Web and the Cloud technologies, as well as the Kalimucho middleware by specifying some profiles and experiment their usage on several platforms.
Not file

Dates and versions

hal-01912933 , version 1 (05-11-2018)

Identifiers

  • HAL Id : hal-01912933 , version 1

Cite

S. Slimani, A. Alti, S. Laborie, Philippe Roose. An Autonomic Semantic Approach for the Detection and Monitoring of Diseases. 8e Forum Jeunes Chercheurs Du Congrès INFORSID 2016, May 2016, Grenoble, France. pp.187-193. ⟨hal-01912933⟩
37 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More