{"title":"基于组合模式匹配方法的数据库集成(以区域卫生信息系统多数据库为例)","authors":"M. F. Rachman, G. Saptawati","doi":"10.1109/ICITISEE.2017.8285544","DOIUrl":null,"url":null,"abstract":"Database integration can potentially result in format, structure, syntax and semantic conflicts as data sources come from different places or applications. To handle this conflict, there are several schema matching techniques on the database individually or in combination. Schema matching is one of the stages in database integration using the bottom-up design method. This research proposes matching of hybrid combination schemas from two schema matching techniques, which are linguistic-based and constraint-based. Hybrid combination matching allows matching of individual schemas to complement each other. The result of matching this combination schema can be applied in query rewriting as multi-database query processing.","PeriodicalId":130873,"journal":{"name":"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Database integration based on combination schema matching approach (case study: Multi-database of district health information system)\",\"authors\":\"M. F. Rachman, G. Saptawati\",\"doi\":\"10.1109/ICITISEE.2017.8285544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Database integration can potentially result in format, structure, syntax and semantic conflicts as data sources come from different places or applications. To handle this conflict, there are several schema matching techniques on the database individually or in combination. Schema matching is one of the stages in database integration using the bottom-up design method. This research proposes matching of hybrid combination schemas from two schema matching techniques, which are linguistic-based and constraint-based. Hybrid combination matching allows matching of individual schemas to complement each other. The result of matching this combination schema can be applied in query rewriting as multi-database query processing.\",\"PeriodicalId\":130873,\"journal\":{\"name\":\"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITISEE.2017.8285544\",\"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 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITISEE.2017.8285544","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Database integration based on combination schema matching approach (case study: Multi-database of district health information system)
Database integration can potentially result in format, structure, syntax and semantic conflicts as data sources come from different places or applications. To handle this conflict, there are several schema matching techniques on the database individually or in combination. Schema matching is one of the stages in database integration using the bottom-up design method. This research proposes matching of hybrid combination schemas from two schema matching techniques, which are linguistic-based and constraint-based. Hybrid combination matching allows matching of individual schemas to complement each other. The result of matching this combination schema can be applied in query rewriting as multi-database query processing.