查询轨迹数据仓库

Hoda M. O. Mokhtar, Gihan Mahmoud
{"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}
引用次数: 2

摘要

随着移动通信技术的快速发展,对移动对象数据库的需求日益增加。移动对象数据库是许多位置敏感应用程序的主要组成部分。交通控制、车队管理、移动商务和E-911都属于新兴的基于位置的服务(lbs)。随着位置信息的大量增加,以及对这些信息进行有效管理和挖掘的需求,时空数据仓库应运而生,需要新的算法、新的度量和高效的查询技术来有效地利用从运动物体中获得的历史信息。在本文中,我们提出了一个能够查询位置信息的时空数据仓库(STDW)。给出了查询性能的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Querying Trajectory Data Warehouses
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multi-level Topological Relations of the Spatial Reasoning System RCC-8 Source-Aware Repairs for Inconsistent Databases Using Input Buffers for Streaming XSLT Processing An Extension of XQuery for Graph Analysis of Biological Pathways IRCDB: A Database of Inter-residues Contacts in Protein Chains
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1