A Semantic Infrastructure for Personalizable Context-Aware Environments

被引：4
|
作者：
Scerri, Simon [1 ,2 ]
Debattista, Jeremy [2 ]
Attard, Judie [2 ]
Rivera, Ismael [3 ]
机构：
[1] Fraunhofer IAIS, St Augustin, Germany
[2] Univ Bonn, Bonn, Germany
[3] Altocloud, Mountain View, CA USA
来源：
AI MAGAZINE | 2015年 / 36卷 / 02期
关键词：
D O I：
10.1609/aimag.v36i2.2586
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although a number of initiatives provide personalized context-aware guidance for niche use cases, a standard framework for context awareness remains lacking. This article explains how semantic technology has been exploited to generate a centralized repository of personal activity context. This data drives advanced features such as personal situation recognition and customizable rules for the context-sensitive management of personal devices and data sharing. As a proof of concept, we demonstrate how an innovative context-aware system has successfully adopted such an infrastructure.
引用
收藏
页码：73 / 84
页数：12
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