An Autonomic Semantic Approach for the Detection and Monitoring of Diseases

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.
Document type :
Conference papers
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https://hal-univ-pau.archives-ouvertes.fr/hal-01912933
Contributor : Gaelle Chancerel <>
Submitted on : Monday, November 5, 2018 - 5:50:15 PM
Last modification on : Friday, April 26, 2019 - 11:24:09 PM

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  • HAL Id : hal-01912933, version 1

Citation

S. Slimani, A. Alti, S. Laborie, Philippe Roose. An Autonomic Semantic Approach for the Detection and Monitoring of Diseases. INFORSID 2016 - Actes Du 8e Forum Jeunes Chercheurs Du Congres INFORSID, 2016, Unknown, Unknown Region. pp.187-193. ⟨hal-01912933⟩

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