Knowledge acquisition from multimedia content using an evolution framework

被引：0
|
作者：
Kosmopoulos, D. [1 ]
Petridis, S. [1 ]
Pratikakis, I. [1 ]
Gatos, V. [1 ]
Perantonis, S. [1 ]
Karkaletsis, V. [1 ]
Paliouras, G. [1 ]
机构：
[1] Demokritos Natl Ctr Sci Res, Computat Intelligence Lab, Inst Informat & Telecommun, Athens 15310, Greece
来源：
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS | 2006年 / 204卷
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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：
We propose an approach to knowledge acquisition, which uses multimedia ontologies for fused extraction of semantics from multiple modalities, and feeds back the extracted information, aiming to evolve knowledge representation. This paper presents the basic components of the proposed approach and discusses the open research issues focusing on the fused information extraction that will enable the development of scalable and precise knowledge acquisition technology.
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页码：557 / +
页数：2
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