An Editable Live ETL System for Ambient Intelligence Environments

被引：0

作者：

Mesiti, Marco ^{[1
]}

Valtolina, Stefano ^{[1
]}

Ferrari, Luca ^{[1
]}

Dao, Minh-Son ^{[2
]}

Zettsu, Koji ^{[2
]}

机构：

[1] Univ Milan, Dept Comp Sci, Milan, Italy

[2] Natl Inst Informat & Commun Technol, Koganei, Tokyo, Japan

来源：

2015 IEEE 2ND WORLD FORUM ON INTERNET OF THINGS (WF-IOT) | 2015年

关键词：

Sensor data streams; ETL design and verification; Visual Analytics; Interaction models;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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).

引用

页码：393 / 394

页数：2

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