基于排名的查询处理和优化

I. Ilyas, Walid G. Aref
{"title":"基于排名的查询处理和优化","authors":"I. Ilyas, Walid G. Aref","doi":"10.1109/ICDE.2005.119","DOIUrl":null,"url":null,"abstract":"Efficient execution of ranking query is increasingly becoming a major challenge for database technology. DBMSs provide efficient update, indexing, concurrency and recovery. On the other hand, IR on text and multimedia requires techniques involving uncertainty and ranking for effective retrieval. The main goal of this paper is to give an in-depth look on supporting ranking queries as an increasingly interesting area of research. We cover the state-of-the-art techniques in research prototypes and industry-strength database engines for efficient handling of ranking and queries. We focus primarily on how to integrate ranking as a new query processing and optimization dimension, with the aim of supporting ranking queries as a basic and core functionality. The paper identifies several challenges that need to be addressed towards a true support for ranking and effective retrieval in database management systems.","PeriodicalId":297231,"journal":{"name":"21st International Conference on Data Engineering (ICDE'05)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Rank-aware query processsing and optimization\",\"authors\":\"I. Ilyas, Walid G. Aref\",\"doi\":\"10.1109/ICDE.2005.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient execution of ranking query is increasingly becoming a major challenge for database technology. DBMSs provide efficient update, indexing, concurrency and recovery. On the other hand, IR on text and multimedia requires techniques involving uncertainty and ranking for effective retrieval. The main goal of this paper is to give an in-depth look on supporting ranking queries as an increasingly interesting area of research. We cover the state-of-the-art techniques in research prototypes and industry-strength database engines for efficient handling of ranking and queries. We focus primarily on how to integrate ranking as a new query processing and optimization dimension, with the aim of supporting ranking queries as a basic and core functionality. The paper identifies several challenges that need to be addressed towards a true support for ranking and effective retrieval in database management systems.\",\"PeriodicalId\":297231,\"journal\":{\"name\":\"21st International Conference on Data Engineering (ICDE'05)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"21st International Conference on Data Engineering (ICDE'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2005.119\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"21st International Conference on Data Engineering (ICDE'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2005.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

排序查询的高效执行日益成为数据库技术面临的主要挑战。dbms提供高效的更新、索引、并发性和恢复。另一方面,文本和多媒体的信息检索需要涉及不确定性和排序的技术来进行有效检索。本文的主要目标是深入研究支持排名查询作为一个越来越有趣的研究领域。我们涵盖了研究原型和行业实力数据库引擎中最先进的技术,用于有效处理排名和查询。我们主要关注如何将排名集成为一个新的查询处理和优化维度,目的是支持排名查询作为基本和核心功能。本文确定了在数据库管理系统中需要解决的几个挑战,以真正支持排名和有效检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rank-aware query processsing and optimization
Efficient execution of ranking query is increasingly becoming a major challenge for database technology. DBMSs provide efficient update, indexing, concurrency and recovery. On the other hand, IR on text and multimedia requires techniques involving uncertainty and ranking for effective retrieval. The main goal of this paper is to give an in-depth look on supporting ranking queries as an increasingly interesting area of research. We cover the state-of-the-art techniques in research prototypes and industry-strength database engines for efficient handling of ranking and queries. We focus primarily on how to integrate ranking as a new query processing and optimization dimension, with the aim of supporting ranking queries as a basic and core functionality. The paper identifies several challenges that need to be addressed towards a true support for ranking and effective retrieval in database management systems.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信