Layered Graph Data Model For Dataspaces Management

摘要：

In order to improve management of heterogeneous data sources in dataspace, a unified data model to represent all kinds of data in a single, powerful and simple way is the foundation of dataspace system. We propose a layered graph Data Model (IgDM) namely entity data graph (Go) and entity schema graph (Gs) to describe and capture associations among entities and entity classes. We propose an association mining strategy and a graph weighting scheme to facilitate keyword query and query results ranking. We conduct experiments to demonstrate the feasibility and functionality of our proposed data model.

关键词： data model entity association dataspace

作者: Dan Yang Linlin Li Liangxu Sun

作者单位: School of Software University of Science and Technology LiaoNing Anshan, China School of information School of information Science&Engineering Northeastern Universit Shenyang, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 234-237

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）