非一致性数据库概率查询策略与算法分析
he Method of Probabilistic Query and Algorithms Analysis Based on Inconsistent Database
完整性约束是保证关系型数据库中数据确定性的重要条件,而现实世界中大量存在着不确定性的信息,但这些信息依然具有很好的使用价值,需要被检索和利用。本文在总结前人工作的基础上,结合概率数据库理论,提出了一种新的针对非一致性数据库的查询策略,利用并、交、差、选择、投影、连接等约束方法,能有效地对非一致性数据进行修复,其四元组概率计算方法和概率查询重写技术能克服非一致性数据库查询的许多不足,实验显示这些方法可以减少数据冲突的发生。
Integrity constraint is important to make data certain in relation database. Though there is plenty of uncertain information that is valuable and need to be searched and to be used. Combined with probabilistic database theory and on the basis of summarizing former results, this paper gives a new query plan aiming at inconsistent database. It uses the constraint methods including union, product, subtraction, selection, projection and link to repair inconsistent data effectively. Its probabilistic calculation with four elements and probabilistic query rewriting can overcome shortcomings of inconsistent databases. The experiments show these methods can decrease conflict of data.
雷刚跃、邓云龙、杨路明、刘波
计算技术、计算机技术
非一致性数据库概率数据模型数据清洗查询重写约束查询
Inconsistent DatabasesProbabilistic Data Modelata CleanQuery Rewriting
雷刚跃,邓云龙,杨路明,刘波.非一致性数据库概率查询策略与算法分析[EB/OL].(2006-10-17)[2025-08-30].http://www.paper.edu.cn/releasepaper/content/200610-198.点此复制
评论