Semantic keyword search in graph databases

被引:0
|
作者
Lou, Ying [1 ]
Wu, Qingtao [1 ]
Ji, Baiyang [2 ]
Zheng, Ruijuan [1 ]
Zhang, Mingchuan [1 ]
Wei, Wangyang [1 ]
机构
[1] Electronic Information Engineering College, Henan University of Science and Technology
[2] Sunyard System Engineering Co. Ltd.
来源
Journal of Computational Information Systems | 2013年 / 9卷 / 15期
关键词
Graph database; Keyword search; Ranking; Semantics;
D O I
10.12733/jcis6758
中图分类号
学科分类号
摘要
The graph model is widely applied in many applications and attracts extensive attentions in recently years. Keyword search have been proved the user-friendly approach to obtain information, which also has been used for graph data. However, the existing researches mainly focus on the efficiency of the keyword search method. In this paper, we design another structural index of graph data for the keywords. We then study how to return semantic results for keyword search in graph data. A semantic ranking strategy is proposed for keyword search. Extensive experiments show that our method is significantly better than existing methods. © 2013 Binary Information Press.
引用
收藏
页码:5913 / 5920
页数:7
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