{"title":"为复合答案集成不同的数据库","authors":"S. Madnick, Y.R. Wang","doi":"10.1109/hicss.1988.11855","DOIUrl":null,"url":null,"abstract":"The authors consider composite information systems, i.e. systems that require multiple independent databases to work together within and/or across organizational boundaries in order to increase productivity. They focus on logical connectivity, which deals with the process of accessing disparate databases in concert for composite answers. They present an approach to resolve the problems of contradiction, inconsistency, and ambiguity, which need to be overcome to attain logical connectivity. Their approach uses concepts drawn from frame-based knowledge representation and rule-based inferencing. An object-oriented prototype is presented to illustrate the process involved in formulating composite answers when different levels of abstraction are required.<<ETX>>","PeriodicalId":148246,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Integrating disparate databases for composite answers\",\"authors\":\"S. Madnick, Y.R. Wang\",\"doi\":\"10.1109/hicss.1988.11855\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors consider composite information systems, i.e. systems that require multiple independent databases to work together within and/or across organizational boundaries in order to increase productivity. They focus on logical connectivity, which deals with the process of accessing disparate databases in concert for composite answers. They present an approach to resolve the problems of contradiction, inconsistency, and ambiguity, which need to be overcome to attain logical connectivity. Their approach uses concepts drawn from frame-based knowledge representation and rule-based inferencing. An object-oriented prototype is presented to illustrate the process involved in formulating composite answers when different levels of abstraction are required.<<ETX>>\",\"PeriodicalId\":148246,\"journal\":{\"name\":\"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/hicss.1988.11855\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume II: Software track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/hicss.1988.11855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrating disparate databases for composite answers
The authors consider composite information systems, i.e. systems that require multiple independent databases to work together within and/or across organizational boundaries in order to increase productivity. They focus on logical connectivity, which deals with the process of accessing disparate databases in concert for composite answers. They present an approach to resolve the problems of contradiction, inconsistency, and ambiguity, which need to be overcome to attain logical connectivity. Their approach uses concepts drawn from frame-based knowledge representation and rule-based inferencing. An object-oriented prototype is presented to illustrate the process involved in formulating composite answers when different levels of abstraction are required.<>