{"title":"Improving semantic web service discovery method based on QoS ontology","authors":"Pourya Farzi, R. Akbari, O. Bushehrian","doi":"10.1109/CSIEC.2017.7940175","DOIUrl":null,"url":null,"abstract":"Semantic web services represent the potential of the web and they have significant impact on the discovery process. Due to the high proliferation of web services, selecting the best web services from functional equivalent service providers have become a real challenge when a large number of services have been published in a registry. If these services have been functionally-equivalent, it is difficult for service requester to choose which one to be invoked. So the quality of the service plays a crucial role and it becomes a very important factor in discovery and selection of these candidates services to best meet users requirement. In this paper, a QOS method is designed and implemented to support web services of non-functional aspect. The proposed method is based on OWL-S expansion and adding needed information for acquiring non-functional parameters and it construct a better QoS metrics model. Furthermore, the experimental results show that the proposed method improve the accuracy of the discovery system.","PeriodicalId":166046,"journal":{"name":"2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd Conference on Swarm Intelligence and Evolutionary Computation (CSIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIEC.2017.7940175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Semantic web services represent the potential of the web and they have significant impact on the discovery process. Due to the high proliferation of web services, selecting the best web services from functional equivalent service providers have become a real challenge when a large number of services have been published in a registry. If these services have been functionally-equivalent, it is difficult for service requester to choose which one to be invoked. So the quality of the service plays a crucial role and it becomes a very important factor in discovery and selection of these candidates services to best meet users requirement. In this paper, a QOS method is designed and implemented to support web services of non-functional aspect. The proposed method is based on OWL-S expansion and adding needed information for acquiring non-functional parameters and it construct a better QoS metrics model. Furthermore, the experimental results show that the proposed method improve the accuracy of the discovery system.