{"title":"SEQUEL作为一种文档检索语言","authors":"I. Macleod","doi":"10.1002/asi.4630300502","DOIUrl":null,"url":null,"abstract":"Traditionally the information retrieval community has avoided the type of data base management systems used in business applications. In this article it is shown how SEQUEL, a language designed for use in a data base management system, is potentially suited to a document retrieval system. The disadvantages of SEQUEL as it currently exists are discussed, and some extensions are proposed which appear to eliminate many of these disadvantages.","PeriodicalId":50013,"journal":{"name":"Journal of the American Society for Information Science and Technology","volume":"118 1","pages":"243-249"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"39","resultStr":"{\"title\":\"SEQUEL as a Language for Document Retrieval\",\"authors\":\"I. Macleod\",\"doi\":\"10.1002/asi.4630300502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally the information retrieval community has avoided the type of data base management systems used in business applications. In this article it is shown how SEQUEL, a language designed for use in a data base management system, is potentially suited to a document retrieval system. The disadvantages of SEQUEL as it currently exists are discussed, and some extensions are proposed which appear to eliminate many of these disadvantages.\",\"PeriodicalId\":50013,\"journal\":{\"name\":\"Journal of the American Society for Information Science and Technology\",\"volume\":\"118 1\",\"pages\":\"243-249\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the American Society for Information Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/asi.4630300502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the American Society for Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/asi.4630300502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Traditionally the information retrieval community has avoided the type of data base management systems used in business applications. In this article it is shown how SEQUEL, a language designed for use in a data base management system, is potentially suited to a document retrieval system. The disadvantages of SEQUEL as it currently exists are discussed, and some extensions are proposed which appear to eliminate many of these disadvantages.