A Framework for Image Retrieval Based on Uncertainty Description Logic U-ALC

被引:0
作者
Wang, Songxin [1 ]
Huang, Hailiang [1 ]
机构
[1] Shanghai Univ, Shanghai Univ Finance & Ecnom, Dept Comp Sci & Technol, Shanghai 200433, Peoples R China
来源
SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING: THEORY AND PRACTICE, VOL 1 | 2012年 / 114卷
关键词
Description logic; Image retrieval; Semantic information processing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A framework is proposed in which information about images's form and information about images's content are addressed in a principled way. The framework relies on the an uncertainty description logic U-ALC, which is also newly proposed in this paper, for (i) representing the semantics of images and (ii) for defining the retrieval process in terms of logical entailment. The overall framework thus extends current image retrieval systems with the use of qualitative uncertainty semantic information processing.
引用
收藏
页码:547 / 553
页数:7
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