{"title":"基于遗传算法的Web服务发现优化选择模型研究","authors":"Xiao Jun","doi":"10.1109/ICACTE.2010.5579698","DOIUrl":null,"url":null,"abstract":"Traditional Web services, which are mainly technical specifications based on UDDI, provide service discovery by simple classification and key word matching, resulting in low precision ratio and recall ratio as well as low compatibility of service multiplexing and service composition. This paper, basing on Web service models and in combination with genetic algorithm, brings forward a multi-target optimization selection model based on similarity, QoS, matching degree, rating and feasibility of Web services, and provides an effective method for Web service discovery.","PeriodicalId":255806,"journal":{"name":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Study on optimization selection model of Web service discovery based on genetic algorithm\",\"authors\":\"Xiao Jun\",\"doi\":\"10.1109/ICACTE.2010.5579698\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional Web services, which are mainly technical specifications based on UDDI, provide service discovery by simple classification and key word matching, resulting in low precision ratio and recall ratio as well as low compatibility of service multiplexing and service composition. This paper, basing on Web service models and in combination with genetic algorithm, brings forward a multi-target optimization selection model based on similarity, QoS, matching degree, rating and feasibility of Web services, and provides an effective method for Web service discovery.\",\"PeriodicalId\":255806,\"journal\":{\"name\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACTE.2010.5579698\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACTE.2010.5579698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on optimization selection model of Web service discovery based on genetic algorithm
Traditional Web services, which are mainly technical specifications based on UDDI, provide service discovery by simple classification and key word matching, resulting in low precision ratio and recall ratio as well as low compatibility of service multiplexing and service composition. This paper, basing on Web service models and in combination with genetic algorithm, brings forward a multi-target optimization selection model based on similarity, QoS, matching degree, rating and feasibility of Web services, and provides an effective method for Web service discovery.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
