Building Context-Aware Customized Stories Based on Uncovering Indirect Associations from Semantic Knowledge Bases

This paper describes the construction of an intelligent semantics-based system that exploits several knowledge bases to tell contextually relevant stories to individuals and groups. Starting from information stored in user profiles, textual queries and pictures, a set of readily available tools recognize topics of interest and features of context, thereupon, we run data mining and semantic reasoning processes to create the narratives and realize them using proper multimedia contents. User feedback is sought to enrich the knowledge bases in a sustainable and organic way.