An editable live ETL system for ambient intelligence environments

This paper describes early studies and results about the design of a system for supporting domain experts in managing data streams coming from a set of sensors and services at the base of ambient intelligence (AmI) environments. Domain experts can use the proposed system to creatively elaborate their needs and ideas about the type of data-flow to be generated for monitoring emergency situations and combining physical and social sensors. Moreover, they can conduct different analysis by considering their contextual information (space, time, thematic)