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高效的图索引结构

An Efficient Graph Index

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【作者】 朱永泰王晨汪卫施伯乐

【机构】 复旦大学计算机与信息技术系

【摘要】 <正>1引言近年来,许多计算机的新兴应用都用图结构建模。如XML文档、Web访问日志、生物数据库、化合物分子图和图像检索等。数据的积累使数据库的相关研究延伸到了上述领域,图查询就是其中的重

【Abstract】 Graph has been increasingly used to model the structures in social network and chemical compounds. Querying on a graph database becomes an important task.We provide a new structure of graph index,which includes a primary index based on edges(EDI) and a secondary index based on historical queries(qEDI).Maintenance to handle update operation in database is discussed and a graph query algorithm based on the index is presented.EDI and qEDI can significantly improve the performance of graph query and index size can also be controlled in a reasonable range.Our experimental results show that our index has a high performance.The secondary index used in qEDI can achieve 3-4 times better in comparison with EDI only with primary index.

【Key words】 Graph queryGraph indexing
  • 【会议录名称】 第二十二届中国数据库学术会议论文集(研究报告篇)
  • 【会议名称】第二十二届中国数据库学术会议
  • 【会议时间】2005-08-19
  • 【会议地点】中国内蒙古呼和浩特
  • 【分类号】TP391.3
  • 【主办单位】中国计算机学会数据库专业委员会
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