NDLI: Semantic Matching Framework for Personalizing ubiquitous Environment dedicated to people with special needs

Content Provider	IEEE Xplore Digital Library
Author	Kadouche, R. Mokhtari, M. Giroux, S. Abdulrazak, B.
Copyright Year	2008
Description	Author affiliation: Handicom Lab., Inst. Nat. des Telecommun.-GET, Evry (Mokhtari, M.) \|\| DOMUS Lab., Univ. de Sherbrooke, Sherbrooke, QC (Kadouche, R.; Giroux, S.; Abdulrazak, B.)
Abstract	User adaptability and acceptability in heterogeneous environments are very important issues, mainly for people with disabilities. Traditional technology-push approaches fail in overcoming the needs. It becomes crucial to adopt a user-centric approach, both from methodological and technological points of views. In this paper we present a semantic matching framework for personalized service delivery in assistive environments. This framework is based on matching two models: (1) environment model, describing environment factors and (2) user model, describing the human factors. The Framework was implemented using semantic web technologies and integrated into a demonstrator, which has been used to validate the concept in laboratory conditions. Our contribution is three folded: first, the formalization of the user model and the environment model, second, the matching between these two models combining the human factors and the environmental factors, and third the description of these models and their association with ontology based languages.
Starting Page	582
Ending Page	587
File Size	4347197
Page Count	6
File Format	PDF
ISBN	9781424420209
DOI	10.1109/ICPCA.2008.4783679
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-06
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pervasive computing Semantic Web Laboratories Communication system control Human factors Smart homes Ontologies Environmental factors Usability Monitoring
Content Type	Text
Resource Type	Article

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