A method for processing the natural language query in ontology-based image retrieval system

被引：0
|
作者：
Hwang, Myunggwon [1 ]
Kong, Hyunjang [1 ]
Baek, Sunkyoung [1 ]
Kim, Pankoo [1 ]
机构：
[1] Chosun Univ, 375 Seosuk-dong, Kwangju 501759, South Korea
来源：
ADAPTIVE MULTIMEDIA RETRIEVAL: USER, CONTEXT, AND FEEDBACK | 2007年 / 4398卷
关键词：
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：
There is a large amount of image data on the web because of the development of many image acquisition devices nowadays. Hence, many researchers have been focusing on the study how to manage and retrieve these huge images efficiently. In this paper, we use two kinds of ontologies in the image retrieval system for processing the natural language query. We use the domain ontology for describing objects in images and we newly build the spatial ontology for representing the relations between these objects. And then, we suggest the method for processing the user query formatted by the natural language in the ontology-based image retrieval system. Based on our study, we got the conclusion that the natural language query processing is the very important part for improving the efficiency of the image retrieval system.
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页码：1 / +
页数：3
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