Layered Graph Data Model for Data Management of Data Space Support Platform

被引：0

作者：

Yang, Dan ^{[1
]}

Shen, Derong ^{[1
]}

Nie, Tiezheng ^{[1
]}

Yu, Ge ^{[1
]}

Kou, Yue ^{[1
]}

机构：

[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China

来源：

WEB-AGE INFORMATION MANAGEMENT | 2011年 / 6897卷

关键词：

layered graph; data model; association; dataspace;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to effective management of heterogeneous data sources in dataspace and provide more high quality services, proposing a unified data model to represent all kinds of data in a simple and powerful way is the foundation of DataSpace Support Platform (DSSP). So we propose a novel layered graph Data Model (called lgDM) which includes Entity Data Graph (GD) and Entity Schema Graph (GS) to capture both associations among entities and associations among entity classes. Moreover we also propose an association mining strategy to try to incrementally find associations with less manual effort. We conduct experiments to evaluate the efficiency and effectiveness of our proposed data model.

引用

页码：353 / 365

页数：13