{"title":"查询轨迹数据仓库","authors":"Hoda M. O. Mokhtar, Gihan Mahmoud","doi":"10.1109/DBKDA.2009.20","DOIUrl":null,"url":null,"abstract":"With the fast development in mobile and communication technology, the need for moving object databases increases. Moving object databases constitute a major ingredient in many applications that are location sensitive. Traffic control, fleet management, m-commerce, and E-911 are among those emerging location based services (LBSs). Along with the vast increase of location information, and the need to efficiently manage and mine those information, spatio-temporal data warehouses arise into the picture requiring new algorithms, new measures, and efficient querying techniques to efficiently utilize the historical information obtained from moving objects. In this paper we present a spatio-temporal data warehouse (STDW) that enables querying location information. Experimental results on our query performance are presented.","PeriodicalId":231150,"journal":{"name":"2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Querying Trajectory Data Warehouses\",\"authors\":\"Hoda M. O. Mokhtar, Gihan Mahmoud\",\"doi\":\"10.1109/DBKDA.2009.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the fast development in mobile and communication technology, the need for moving object databases increases. Moving object databases constitute a major ingredient in many applications that are location sensitive. Traffic control, fleet management, m-commerce, and E-911 are among those emerging location based services (LBSs). Along with the vast increase of location information, and the need to efficiently manage and mine those information, spatio-temporal data warehouses arise into the picture requiring new algorithms, new measures, and efficient querying techniques to efficiently utilize the historical information obtained from moving objects. In this paper we present a spatio-temporal data warehouse (STDW) that enables querying location information. Experimental results on our query performance are presented.\",\"PeriodicalId\":231150,\"journal\":{\"name\":\"2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DBKDA.2009.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 First International Confernce on Advances in Databases, Knowledge, and Data Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DBKDA.2009.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
With the fast development in mobile and communication technology, the need for moving object databases increases. Moving object databases constitute a major ingredient in many applications that are location sensitive. Traffic control, fleet management, m-commerce, and E-911 are among those emerging location based services (LBSs). Along with the vast increase of location information, and the need to efficiently manage and mine those information, spatio-temporal data warehouses arise into the picture requiring new algorithms, new measures, and efficient querying techniques to efficiently utilize the historical information obtained from moving objects. In this paper we present a spatio-temporal data warehouse (STDW) that enables querying location information. Experimental results on our query performance are presented.