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DBORank:对象级别的关系数据库信息检索方法
引用本文:邵仁俊,张俊,曾一鸣.DBORank:对象级别的关系数据库信息检索方法[J].计算机科学与探索,2012,6(8):741-751.
作者姓名:邵仁俊  张俊  曾一鸣
作者单位:大连海事大学信息科学技术学院,辽宁大连,116026
基金项目:国家自然科学基金Nos.61073057,60972090;中央高校基本科研业务费专项资金No.2011JC007~~
摘    要:对象级别的信息检索已经引起越来越多的关注和研究。针对这一研究问题,设计并实现了一个对象级别的关系数据库信息检索方法DBORank,来有效提高关系数据库信息检索效果。DBORank方法从数据库和信息检索两个角度出发,设计了一种灵活有效的评分机制,它既考虑了对象级别数据图的链接结构,又考虑了图中对象结点的内部结构,边的类型和权值,对象内容相关性等因素,同时优化了对象评分的迭代算法。实验表明DBORank方法具有良好的检索效果和效率。

关 键 词:关系数据库  信息检索  对象级别检索

DBORank:Object-Level Information Retrieval Method for Relational Databases
SHAO Renjun , ZHANG Jun , ZENG Yiming.DBORank:Object-Level Information Retrieval Method for Relational Databases[J].Journal of Frontier of Computer Science and Technology,2012,6(8):741-751.
Authors:SHAO Renjun  ZHANG Jun  ZENG Yiming
Affiliation:School of Information Science and Technology, Dalian Maritime University, Dalian, Liaoning 116026, China
Abstract:Object-level information retrieval has been a hot research topic recently. To solve the problem, this paper proposes an object-level information retrieval method for relational databases, named as DBORank, which can improve the effect of information retrieval over relational databases. DBORank designs a flexible and effective scoring mechanism from both databases and information retrieval perspectives, which takes into account not only the link structure of object-level data graph, but also the internal structure of object nodes, the type and weight of edges, the relevance of object content, etc. At the same time, it optimizes the iteration algorithm of object scoring. The experi-mental results show that DBORank performs efficiently.
Keywords:relational database  information retrieval  object-level retrieval
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