Conference Paper

Semantic approach for modelling an assistive environment using description logic

DOI: 10.1145/1497308.1497351 Conference: iiWAS'2008 - The Tenth International Conference on Information Integration and Web-based Applications Services, 24-26 November 2008, Linz, Austria
Source: DBLP


Smart living spaces provide autonomy and assistance to people with disabilities and elderly people in order to increase their independence. In this paper we present our approach to personalize a complex living environment for users with special needs. It provides an appropriate middleware for supporting assistive services in dynamic environments. It is built upon formalisms based on Description logic (DL) named Semantic Matching Framework (SMF) and designed on the matching of two models: an environment model, and a user model. SMF was implemented and integrated into a demonstrator, which is validated under laboratory conditions. Performance results are presented to highlight the time response of SMF.

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    • "In this paper we will focus on the implementation using OWL-DL of the domain knowledge of SMF. We invite readers to consult [15] to see in details our approach to define the formal description of the different entities of our domain knowledge (DO) using Description Logic. OWL-DL is an ontology language for the Semantic Web technology. "
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    ABSTRACT: The recent convergence of ubiquitous computing and context-aware computing has seen a considerable rise in interest in applications that exploit aspects of the contextual environment to enhance implicit user interaction, offer services, present information, tailor application behavior or trigger adaptation. However they are often insufficient to provide adequate environments for people with special needs and allow them to be an integral part of society. This paper presents our approach to enhance environment services to peoples with special needs. Particularly it highlights the data representation and implementation of this approach under a framework based on the Web Ontology Language OWL-DL. A prototype of this framework was integrated in a smart home demonstrator and tested with users under a laboratory conditions.
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