Semantic Integration of Sensor Measurements and Human Self-observations for Physical-Cyber-Social Computing
Artem Katasonov, Jarkko Leino, Timo Tuomisto · International Conference on the Digital Society · 2014
To deliver on their promises, Physical-Cyber-Social systems must semantically integrate a wide range of heteroge- neous multimodal observations, including physical sensor mea- surements, human self-observations, social observations, and demographic observations. In this paper, we address the problem of collecting and combining sensor measurements and self- observations. We describe an architecture, main features of which are a triple-space-based approach to data integration and a novel approach utilizing instant messaging for eliciting self- observations. A specific application domain considered is health- related monitoring of elderly persons at their homes.