Mustapha Aznag, M. Quafafou, Nicolas Durand, Zahi Jarir
{"title":"Multiple Representations of Web Services: Discovery, Clustering and Recommendation","authors":"Mustapha Aznag, M. Quafafou, Nicolas Durand, Zahi Jarir","doi":"10.1109/ICWS.2011.109","DOIUrl":null,"url":null,"abstract":"This paper analyses the well known web servicesrepresentations based on web services descriptions and moregenerally on the content of WSDL files to evaluate theirinterest for discovery, clustering and recommendation tasks.Unfortunately, this analysis shows that these representationsare very basic and do not lead to good results. Therefore,we introduce a new representation called symbolic reputationwhich is computed from relationships between web services.Different implementation issues are discussed and the resultsconsidering real world web services are analysed to determinethe usefulness of the introduced representations for web servicesdiscovery, clustering and recommendation.","PeriodicalId":118512,"journal":{"name":"2011 IEEE International Conference on Web Services","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Web Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWS.2011.109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper analyses the well known web servicesrepresentations based on web services descriptions and moregenerally on the content of WSDL files to evaluate theirinterest for discovery, clustering and recommendation tasks.Unfortunately, this analysis shows that these representationsare very basic and do not lead to good results. Therefore,we introduce a new representation called symbolic reputationwhich is computed from relationships between web services.Different implementation issues are discussed and the resultsconsidering real world web services are analysed to determinethe usefulness of the introduced representations for web servicesdiscovery, clustering and recommendation.