Perfil de usuario para internet de las cosas basado en ontologías

Abstract

Determining the context in which the user is located is key to personalizing services in the Internet of Things. Therefore, a generic, semantic, interoperable mechanism that manages the user profile is required. A user profile management mechanism for IoT is proposed that uses ontologies to model user preferences and their context according to their location and the activities they are executing. This enables users to establish preferences on smart objects that create personalized services with minimal human intervention. The methodology used in creating this user profile ontology facilitates the rapid building of a formal, evolutionary model. To validate the solution, a case study adopted a semantic interaction scenario of smart objects, which incorporated real users and measured their ability to personalize the services provided. The results suggest that ontology offers a good solution for this kind of scenario that adapts its services to user characteristics and context. Testing verified that services were automatically adjusted within an acceptable time (52 seconds) in comparison with manual adjustments that might require several minutes