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).

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.

An editable live ETL system for ambient intelligence environments

M. Mesiti
Primo
;
S. Valtolina
Secondo
;
L. Ferrari;
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).
Sensor data streams; ETL design and verification; Visual Analytics; Interaction models
Settore INF/01 - Informatica
dic-2015
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/351227
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