Ontology and SWRL-Based Learning Model for Home Automation Controlling

被引：9

作者：

Valiente-Rocha, Pablo A. ^{[1
]}

Lozano-Tello, Adolfo ^{[1
]}

机构：

[1] Univ Extremadura, Quercus Software Engn Grp, Escuela Politecn, Caceres 10071, Spain

来源：

AMBIENT INTELLIGENCE AND FUTURE TRENDS - INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAML 2010) | 2010年 / 72卷

关键词：

D O I：

10.1007/978-3-642-13268-1_10

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the present paper we describe IntelliDomo's learning model, an ontology-based expert system able to control a home automation system and to learn user's behaviour. This system obtains its own data from the user's daily activities. From these data, IntelliDomo can detect behaviour periodic patterns and it can be able to generate SWRL rules that anticipate the user's day-to-day activities. One of the main objectives IntelliDomo seeks is to be as transparent as possible for the user. The user has nothing to configure, the system learns his/her habits and anticipates his/her actions.

引用

页码：79 / 86

页数：8

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