Exploiting Connection Relation to Compress Data Graph

机译：利用连接关系压缩数据图

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In this paper, we propose an approach to compress data graph by exploiting connection relations which are some particular entity-relationship relations in relational databses. Our method not only can make a larger data graph fit in memory, but also can improve the performance of existing data graph search algorithms for keyword search over relational databases. Comprehensive experiments are conducted to show the effectiveness and efficiency of our method.

机译：在本文中，我们提出了一种利用连接关系来压缩数据图的方法，该连接关系是关系数据库中一些特定的实体关系关系。我们的方法不仅可以使较大的数据图适合内存，而且可以提高现有数据图搜索算法在关系数据库上进行关键字搜索的性能。进行了全面的实验以证明我们方法的有效性和效率。

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来源
《International Workshop on DataBase Management and Application over Networks(DBMAN 2007); International Workshop on Emerging Trends of Web Technologies and Applications(WebETrends 2007; International Workshop on Process Aware Information Systems(PAIS 2007》|2007年|P.241-246|共6页
会议地点 Huang Shan(CN);Huang Shan(CN);Huang Shan(CN);Huang Shan(CN)
作者
Jun Zhang; Zhaohui Peng; Shan Wang; Jiang Zhan;
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作者单位

School of Information, Renmin University of China, Beijing 100872, P.R. China;

Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), MOE, Beijing 100872, P.R. China;

Computer Science and Technology College, Dalian Marit;

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原文格式 PDF
正文语种 eng
中图分类计算机网络;
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Exploiting Connection Relation to Compress Data Graph

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