H. E. Bouhissi, M. Malki, Mohamed Amine Sidi Ali Cherif
{"title":"Improve Web Service discovery: Goal-based approach","authors":"H. E. Bouhissi, M. Malki, Mohamed Amine Sidi Ali Cherif","doi":"10.1109/AICCSA.2014.7073175","DOIUrl":null,"url":null,"abstract":"With the greater number of Web Services (WSs) available on the internet, searching the appropriate WS that fulfills the user needs has become a major challenge. In this paper, we propose a Goal-based framework for Web Services (WSs) discovery. The framework employs matching algorithms and allows searching through a set of Semantic Web Services (SWS)s in order to find the most suitable WS that matches with a user Goal. The proposal is implemented and validated using some test collections and real-world scenarios. Moreover, the experimental results showed that the proposed approach has an efficient impact on the discovery process as a whole.","PeriodicalId":412749,"journal":{"name":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICCSA.2014.7073175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the greater number of Web Services (WSs) available on the internet, searching the appropriate WS that fulfills the user needs has become a major challenge. In this paper, we propose a Goal-based framework for Web Services (WSs) discovery. The framework employs matching algorithms and allows searching through a set of Semantic Web Services (SWS)s in order to find the most suitable WS that matches with a user Goal. The proposal is implemented and validated using some test collections and real-world scenarios. Moreover, the experimental results showed that the proposed approach has an efficient impact on the discovery process as a whole.