Situation awareness for push-based recommendations in mobile devices

Abstract

The paper presents an innovative architecture for push-based Context-aware Recommendation Systems (CARS) that integrates different description and reasoning approaches. Complex Event Processing (CEP) is applied on live data to provide situation awareness. Ontologies and semantic rules are used to define domain expertise that allow individualized and domain-specific recommendations. A case study of a museum serves as a proof of concept of the approach.