{"title":"为地理应用程序扩展DBMS","authors":"B. Ooi, R. Sacks-Davis, Ken J. McDonell","doi":"10.1109/ICDE.1989.47266","DOIUrl":null,"url":null,"abstract":"A method is presented for extending a conventional DBMS (database management system) for geographic applications. The interface language SQL is augmented to allow formulation of queries involving both spatial and nonspatial selection criteria. A novel indexing structure is supported to facilitate query retrieval that is based on spatial proximity. To enable hybrid queries to be evaluated efficiently, an extended optimization strategy is proposed that evaluates minimal implementation effort.<<ETX>>","PeriodicalId":329505,"journal":{"name":"[1989] Proceedings. Fifth International Conference on Data Engineering","volume":"126 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"68","resultStr":"{\"title\":\"Extending a DBMS for geographic applications\",\"authors\":\"B. Ooi, R. Sacks-Davis, Ken J. McDonell\",\"doi\":\"10.1109/ICDE.1989.47266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is presented for extending a conventional DBMS (database management system) for geographic applications. The interface language SQL is augmented to allow formulation of queries involving both spatial and nonspatial selection criteria. A novel indexing structure is supported to facilitate query retrieval that is based on spatial proximity. To enable hybrid queries to be evaluated efficiently, an extended optimization strategy is proposed that evaluates minimal implementation effort.<<ETX>>\",\"PeriodicalId\":329505,\"journal\":{\"name\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"volume\":\"126 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"68\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1989.47266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings. Fifth International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.1989.47266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A method is presented for extending a conventional DBMS (database management system) for geographic applications. The interface language SQL is augmented to allow formulation of queries involving both spatial and nonspatial selection criteria. A novel indexing structure is supported to facilitate query retrieval that is based on spatial proximity. To enable hybrid queries to be evaluated efficiently, an extended optimization strategy is proposed that evaluates minimal implementation effort.<>
![[1989] Proceedings. Fifth International Conference on Data Engineering](/Content/css/sci/img/zetp.jpg)
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
