MACHINE LEARNING IN EFFICIENT AND EFFECTIVE WEB SERVICE DISCOVERY

被引:0
|
作者
Bhardwaj, Kailash Chander [1 ,2 ]
Sharma, R. K. [3 ]
机构
[1] Thapar Univ, Dept Comp Sci & Engn, Patiala 147004, Punjab, India
[2] Tata Consultancy Serv, New Delhi, India
[3] Thapar Univ, Sch Math & Comp Applicat, Patiala 147004, Punjab, India
来源
JOURNAL OF WEB ENGINEERING | 2015年 / 14卷 / 3-4期
关键词
Semantics; web ontology language; web service description language; web services modeling language; web service modeling ontology; neural networks; fuzzy logic; ontology; quality of services;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The web service discovery mechanism has continuously evolved during the last years. There is plethora of information available about various techniques and methods used for meeting the challenge of improving web service discovery. A tremendous effort has been reported in literature and researchers are still contributing to make the web service discovery more effective and efficient. This paper discusses various eminent researchers' work in this direction using machine learning based techniques. Machine learning is a promising area for researchers to produce accurate estimates consistently. Machine learning system effectively "learns" how to estimate from training set of completed projects. We hope that this paper would benefit researchers to carry further work discussed in this paper and provide an outlook for the future research trends.
引用
收藏
页码:196 / 214
页数:19
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