Ontology-based User Context Modeling for Ubiquitous Robots

Ubiquitous robots need user modeling for providing personalized services. With a user model, ubiquitous robots can build more accurate context model, therefore, we provide appropriate services to users based on the context model. In this paper, we propose a context model with ontology based on conceptual dependency. This model is supposed to be used for modeling observed user behaviors. In order to model user behavior, we designed context ontology based on conceptual dependency. Context modeler monitors user behavior and generate ontology instances to represent the behavior. We model user behavior using temporal concepts to enable temporal reasoning for context model. After a temporal context model is generated, we employ ontology reasoner to infer more high level contexts for ubiquitous.