Developing A New Model for Context-Awareness in Ambient Intelligence
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Abstract
Ontologies are a powerful way to model context, thanks to their expressiveness, ability to share knowledge, support for logical inference, and extensibility. While there are many generic ontology that capture and represent general context concepts, such as the SOCAM and CoOL projects, they are not tailored specifically for ambient intelligence and smart homes. This research aims to develop a specific ontology for these domains, building on existing generic ontologies and incorporating logical inference capabilities to assist people with reduced mobility and the elderly in carrying out their daily activities without constant assistance from others.
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