{"title":"面向自组织数据查询的关键字驱动数据服务组合序列生成方法","authors":"Xin Chen, Yanbo Han, Yan Wen, Feng Zhang, W. Liu","doi":"10.1109/ICWS.2017.110","DOIUrl":null,"url":null,"abstract":"In this demo paper, we present a new data service composition sequence generation approach to solve the ad-hoc data query problem in EDMIS. Our approach allows end users to input some keywords, and then the data services related are found and the Top-K data services composition sequences are generated as output.","PeriodicalId":235426,"journal":{"name":"2017 IEEE International Conference on Web Services (ICWS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Keyword-Driven Data Service Composition Sequence Generation Approach on Ad-Hoc Data Query\",\"authors\":\"Xin Chen, Yanbo Han, Yan Wen, Feng Zhang, W. Liu\",\"doi\":\"10.1109/ICWS.2017.110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this demo paper, we present a new data service composition sequence generation approach to solve the ad-hoc data query problem in EDMIS. Our approach allows end users to input some keywords, and then the data services related are found and the Top-K data services composition sequences are generated as output.\",\"PeriodicalId\":235426,\"journal\":{\"name\":\"2017 IEEE International Conference on Web Services (ICWS)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Web Services (ICWS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWS.2017.110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Web Services (ICWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWS.2017.110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Keyword-Driven Data Service Composition Sequence Generation Approach on Ad-Hoc Data Query
In this demo paper, we present a new data service composition sequence generation approach to solve the ad-hoc data query problem in EDMIS. Our approach allows end users to input some keywords, and then the data services related are found and the Top-K data services composition sequences are generated as output.