基于语义关联挖掘的数字图书馆跨媒体检索方法研究
收稿日期: 2012-11-07
修回日期: 2013-02-27
网络出版日期: 2013-04-05
基金资助
本文系国家自然科学基金项目"基于情景化用户偏好的学术信息服务研究"(项目编号:71203060)研究成果之一。
Research on Cross-media Retrieval Method in Digital Library Based on Semantic Association Mining
Received date: 2012-11-07
Revised date: 2013-02-27
Online published: 2013-04-05
明均仁 , 何超 . 基于语义关联挖掘的数字图书馆跨媒体检索方法研究[J]. 图书情报工作, 2013 , (07) : 101 -105 . DOI: 10.7536/j.issn.0252-3116.2013.07.018
This paper designed a cross-media retrieval algorithm based on semantic association mining for the shortcomings that the current cross-media retrieval cannot use the latent semantic association efficiently among various media features and solve the problems of curse of dimensionality and semantic gap. The proposed algorithm mainly includes semantic association mining, cross-media ontology dynamic constructing and cross-media semantic similarity computing. It is demonstrated that this algorithm can efficiently improve the accuracy and efficiency of cross-media retrieval, and meet users' needs of cross-media retrieval to some extent.
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