Data di Pubblicazione:
2015
Citazione:
An editable live ETL system for ambient intelligence environments / M. Mesiti, S. Valtolina, L. Ferrari, M.S. Dao, K. Zettsu - In: Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on[s.l] : IEEE, 2015 Dec. - ISBN 9781509003662. - pp. 393-394 (( Intervento presentato al 2. convegno World Forum on Internet of Things (WF-IoT) tenutosi a Milano nel 2015.
Abstract:
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).
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Sensor data streams; ETL design and verification; Visual Analytics; Interaction models
Elenco autori:
M. Mesiti, S. Valtolina, L. Ferrari, M.S. Dao, K. Zettsu
Link alla scheda completa:
Titolo del libro:
Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on