Moussa Kaouan, D. Bouchiha, S. Benslimane, Sofiane Boukli-Hacene
{"title":"Ontology-based web services classification for registration and discovery of web services","authors":"Moussa Kaouan, D. Bouchiha, S. Benslimane, Sofiane Boukli-Hacene","doi":"10.1504/IJAISC.2017.10005629","DOIUrl":null,"url":null,"abstract":"Web services become increasingly important in the world of internet. Thus, users need to access and effectively share web services. The centralised UDDI is a less robust structure and does not support a large number of web services. If the distributed environment is introduced into the UDDI, there will be a rapid increase in services with minimisation of resource consumption. Accordingly, mechanisms are needed for efficient selection of the appropriate instance of the web service in terms of factors like quality and performance. Distribution mechanisms, clustering and classification are necessary for efficient selection of the appropriate web service to the customer needs. In this paper, we propose a shared repository (ontology) which is produced by clustering of web services. This ontology can be exploited by the UDDI for publishing and discovering web services. A matching algorithm is also proposed to show how to perform this operation. A prototype tool has been developed to support experiments that have been carried out to evaluate and show the efficiency of our matching algorithm. We also introduce a comparative analysis to show the effectiveness of our approach compared to existing works.","PeriodicalId":364571,"journal":{"name":"Int. J. Artif. Intell. Soft Comput.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Artif. Intell. Soft Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAISC.2017.10005629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Web services become increasingly important in the world of internet. Thus, users need to access and effectively share web services. The centralised UDDI is a less robust structure and does not support a large number of web services. If the distributed environment is introduced into the UDDI, there will be a rapid increase in services with minimisation of resource consumption. Accordingly, mechanisms are needed for efficient selection of the appropriate instance of the web service in terms of factors like quality and performance. Distribution mechanisms, clustering and classification are necessary for efficient selection of the appropriate web service to the customer needs. In this paper, we propose a shared repository (ontology) which is produced by clustering of web services. This ontology can be exploited by the UDDI for publishing and discovering web services. A matching algorithm is also proposed to show how to perform this operation. A prototype tool has been developed to support experiments that have been carried out to evaluate and show the efficiency of our matching algorithm. We also introduce a comparative analysis to show the effectiveness of our approach compared to existing works.