Role-based Ontology-driven Knowledge Representation for IoT-enabled Waste Management

被引：1
|
作者：
Sosunova, Inna [1 ]
Zaslavsky, Arkady [2 ]
Fedchenkov, Petr [1 ]
机构：
[1] ITMO Univ, St Petersburg, Russia
[2] CSIRO, Digital Data61, Melbourne, Vic, Australia
来源：
IOT'17: PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON THE INTERNET OF THINGS | 2017年
基金：
欧盟地平线“2020”;
关键词：
Ontology; knowledge representation; waste management; situation awareness; context awareness;
D O I：
10.1145/3131542.3140272
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We propose a method of Role-based Ontology-driven Knowledge Representation for IoT-enabled Waste Management. The creation of the ontology, rules, and a multistage data processing method that allows extracting knowledge about specific nontrivial situations on its basis are described. The implementation of the proposed system in the form of a web application, the content types of which are based on ontology, and data processing occurs according to the proposed algorithm are discussed and demonstrated.
引用
收藏
页码：193 / 194
页数：2
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