QoS Based Semantic Web Service Selection Using Machine Learning Algorithm

被引：0

作者：

Gultekin, Muaz ^{[1
]}

Akbas, Ahmet ^{[1
]}

机构：

[1] Yalova Univ, Comp Engn, Yalova, Turkey

来源：

ICECCO'12: 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTER AND COMPUTATION | 2012年

关键词：

web service; web service discovery; machine learning; self-organising mapping; QoS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Distinguishing between Web services that share almost the same functionalities has been a major dispute into the discovery of Web services. In this study, a framework is suggested for altering an efficient discovery of Web services using Artificial Neural Networks (ANN) and semantic searching. Instead of using key-word based searching methods (e.g. UDDI search) which don't usually give the desired result, a semantic based searching method is deployed with more desirable results. In this framework, to determine appropriate Web services with the notion of the Quality of Web service (QoS), a novel neural network system is successfully applied so that required and useful web services are listed in desired time.

引用

页码：323 / 327

页数：5