{"title":"Data Quality Assessment of Comma Separated Values Using Linked Data Approach","authors":"Aparna Nayak, Bojan Bozic, L. Longo","doi":"10.1007/978-3-031-04216-4_22","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":56020,"journal":{"name":"Business & Information Systems Engineering","volume":"93 1","pages":"240-250"},"PeriodicalIF":7.4000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Business & Information Systems Engineering","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/978-3-031-04216-4_22","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
期刊介绍:
Business & Information Systems Engineering (BISE) is a double-blind peer-reviewed journal with a primary focus on the design and utilization of information systems for social welfare. The journal aims to contribute to the understanding and advancement of information systems in ways that benefit societal well-being.