{"title":"信息集成中涉及聚合和分组查询的查询优化","authors":"Wejdan Alkaldi, F. Sadri","doi":"10.1109/ICDIM.2011.6093349","DOIUrl":null,"url":null,"abstract":"This paper addresses the efficient processing of queries involving aggregation and group-by in the semantic-model approach to information integration. Query processing algorithms materialization, subqueries, and wrapper have been extended for such aggregate queries. Algorithms have been presented for two cases: In the first case information at different sources are disjoint, while in the second case information sources may contain overlapping information.","PeriodicalId":355775,"journal":{"name":"2011 Sixth International Conference on Digital Information Management","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Query optimization in information integration for queries involving aggregation and group by\",\"authors\":\"Wejdan Alkaldi, F. Sadri\",\"doi\":\"10.1109/ICDIM.2011.6093349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the efficient processing of queries involving aggregation and group-by in the semantic-model approach to information integration. Query processing algorithms materialization, subqueries, and wrapper have been extended for such aggregate queries. Algorithms have been presented for two cases: In the first case information at different sources are disjoint, while in the second case information sources may contain overlapping information.\",\"PeriodicalId\":355775,\"journal\":{\"name\":\"2011 Sixth International Conference on Digital Information Management\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Sixth International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2011.6093349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Sixth International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2011.6093349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Query optimization in information integration for queries involving aggregation and group by
This paper addresses the efficient processing of queries involving aggregation and group-by in the semantic-model approach to information integration. Query processing algorithms materialization, subqueries, and wrapper have been extended for such aggregate queries. Algorithms have been presented for two cases: In the first case information at different sources are disjoint, while in the second case information sources may contain overlapping information.
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