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基于DBLP数据的多维异质网络Graph OLAP设计与实现
引用本文:邵连龙,尹 沐.基于DBLP数据的多维异质网络Graph OLAP设计与实现[J].计算机应用研究,2014,31(3):720-724.
作者姓名:邵连龙  尹 沐
作者单位:北京邮电大学 北京市智能通信软件与多媒体重点实验室, 北京 100876
摘    要:为了分析DBLP数据中的多种类型的实体信息, 挖掘其中特定的知识, 首先根据异质网络Graph OLAP(图联机分析处理)模型, 建立相应的数据仓库模型; 然后依据实体维的概念, 构建多维异质图立方模型; 最后针对 Graph OLAP处理异质网络能力不足的问题, 补充了旋转和拉伸操作, 并完善了Graph OLAP原型系统Liter Miner。实证表明设计的原型系统可以有效地对DBLP数据中的多维异质网络进行分析, 挖掘出研究人员需要的知识。

关 键 词:图挖掘  图联机分析处理  数据仓库  图立方体

Heterogeneous multi-dimensional Graph OLAP design and implementation based on DBLP
SHAO Lian-long,YIN Mu.Heterogeneous multi-dimensional Graph OLAP design and implementation based on DBLP[J].Application Research of Computers,2014,31(3):720-724.
Authors:SHAO Lian-long  YIN Mu
Affiliation:Beijing Key Laboratory of Intelligent Telecommunications Software & Multimedia, Beijing University of Posts & Telecommunications, Beijing 100876, China
Abstract:When we want to analyze the entity information and mine the necessary knowledge, according to the heterogeneous multi-dimensional Graph OLAP(graph online analytical processing)framework, firstly this paper modeled the heterogeneous multi-dimensional Graph OLAP data warehouse, then modeled the heterogeneous multi-dimensional graph cube to adapt to entity dimensional analysis. Finally it added rotate and stretch operations to solve the problem of Graph OLAP's poor ability towards heterogeneous network, and implemented heterogeneous multi-dimensional Graph OLAP prototype, Liter Miner. It is proves effective on analyzing heterogeneous networks in DBLP data and mining the knowledge that is needed by researchers.
Keywords:graph mining  OLAP  data warehouse  graph cube
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