Service Mining for Internet of Things

被引：10
|
作者：
Huang, Bing [1 ]
Bouguettaya, Athman [1 ]
Dong, Hai [1 ]
Chen, Liang [1 ]
机构：
[1] RMIT Univ, Sch Sci, Melbourne, Vic, Australia
来源：
SERVICE-ORIENTED COMPUTING, (ICSOC 2016) | 2016年 / 9936卷
关键词：
Service mining; Service recognition; Service relationship; Interestingness; Service description; WEB;
D O I：
10.1007/978-3-319-46295-0_36
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A service mining framework is proposed that enables discovering interesting relationships in Internet of Things services bottom-up. The service relationships are modeled based on spatial-temporal aspects, environment, people, and operation. An ontology-based service model is proposed to describe services. We present a set of metrics to evaluate the interestingness of discovered service relationships. Analytical and simulation results are presented to show the effectiveness of the proposed evaluation measures.
引用
收藏
页码：566 / 574
页数：9
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