An Alignable User Profile Ontology for Ambient Intelligence Environments

Abstract

One of the principal objectives of today's ambient intelligence environments is to provide users with services according to their activity, i.e. preferences in order to accomplisha specific user goal. For this purpose, miscellaneous user information must be collected and structured into user profiles. These profiles offer the advantage of being easily enriched and exploitable by the environment, in order to deliver to the user, at any moment and at any place, the best fitted service, with regard to his activity. In this paper we present an ontology-based user profile model which provides the static data about a user but also the context of the user in a given situation in real time.