{"title":"使用Unity半自动集成关系模式","authors":"R. Lawrence, K. Barker","doi":"10.1109/ICDE.2002.994742","DOIUrl":null,"url":null,"abstract":"Unity is an architecture for integrating relational databases which performs three processes: meta-data capture, semantic integration, and query formulation and execution. The foundation of the architecture is a naming methodology that allows concepts to be integrated across systems. Semantic naming of schema constructs increases automation during integration and provides users with physical and logical access transparency during query formulation.","PeriodicalId":191529,"journal":{"name":"Proceedings 18th International Conference on Data Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Using Unity to semi-automatically integrate relational schema\",\"authors\":\"R. Lawrence, K. Barker\",\"doi\":\"10.1109/ICDE.2002.994742\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unity is an architecture for integrating relational databases which performs three processes: meta-data capture, semantic integration, and query formulation and execution. The foundation of the architecture is a naming methodology that allows concepts to be integrated across systems. Semantic naming of schema constructs increases automation during integration and provides users with physical and logical access transparency during query formulation.\",\"PeriodicalId\":191529,\"journal\":{\"name\":\"Proceedings 18th International Conference on Data Engineering\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 18th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2002.994742\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 18th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2002.994742","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using Unity to semi-automatically integrate relational schema
Unity is an architecture for integrating relational databases which performs three processes: meta-data capture, semantic integration, and query formulation and execution. The foundation of the architecture is a naming methodology that allows concepts to be integrated across systems. Semantic naming of schema constructs increases automation during integration and provides users with physical and logical access transparency during query formulation.