Social-Sensor Cloud Service Selection

被引:55
作者
Aamir, Tooba [1 ]
Bouguettaya, Athman [2 ]
Dong, Hai [1 ]
Erradi, Abdelkarim [3 ]
Hadjidj, Rachid [3 ]
机构
[1] RMIT Univ, Sch Sci, Melbourne, Vic, Australia
[2] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia
[3] Qatar Univ, Coll Engn, Doha, Qatar
来源
2017 IEEE 24TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2017) | 2017年
基金
澳大利亚研究理事会;
关键词
Social-Sensor; Social-Sensor Cloud; Social-Sensor Cloud Service;
D O I
10.1109/ICWS.2017.59
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a new framework for social-sensor cloud services selection based on spatio-textual correlation between user's query and service. The proposed research defines a formal social-sensor cloud service model that abstracts the functional and non-functional aspects of social-sensor data on the cloud in terms of spatio-temporal, textual and quality of service parameters. Proposed framework is a 4-stage filtering algorithm, to select social-sensor cloud services based on user query and quality of service demands. 4-stage filtering is based on spatial correlation, textual correlation, visual features and quality of service parameters. Analytical results are presented to show the performance of the proposed approach.
引用
收藏
页码:508 / 515
页数:8
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