{"title":"松散的AI-DBMS耦合有机会吗?","authors":"A. Sheth","doi":"10.1109/ICDE.1989.47221","DOIUrl":null,"url":null,"abstract":"The concept of loose coupling of artificial intelligence systems and database systems is defined. The issues that arise in determining the scope of loose integration are identified. A cache-based architecture being implemented in a knowledge management system project is described. The objective is to develop an interface that is useful for generalized database access from an expert system.<<ETX>>","PeriodicalId":329505,"journal":{"name":"[1989] Proceedings. Fifth International Conference on Data Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Does loose AI-DBMS coupling stand a chance?\",\"authors\":\"A. Sheth\",\"doi\":\"10.1109/ICDE.1989.47221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The concept of loose coupling of artificial intelligence systems and database systems is defined. The issues that arise in determining the scope of loose integration are identified. A cache-based architecture being implemented in a knowledge management system project is described. The objective is to develop an interface that is useful for generalized database access from an expert system.<<ETX>>\",\"PeriodicalId\":329505,\"journal\":{\"name\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings. Fifth International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.1989.47221\",\"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.1989.47221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The concept of loose coupling of artificial intelligence systems and database systems is defined. The issues that arise in determining the scope of loose integration are identified. A cache-based architecture being implemented in a knowledge management system project is described. The objective is to develop an interface that is useful for generalized database access from an expert system.<>