A Topic-based Document Retrieval System Architecture

被引：0
|
作者：
Jia, Xiping [1 ]
机构：
[1] Guangdong Polytech Normal Univ, Sch Comp Sci, Guangzhou, Guangdong, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL III | 2011年
关键词：
information retrieval; machine learning; topic; document retrieval;
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 Topic-based Document Retrieval System Architecture (TDRSA) is proposed in this paper to weaken the discount of document retrieval precision caused by synonymy and polysemy. The TDRSA includes three tiers: Retrieval application, Retrieval algorithm and Data. Analysis shows that TDRSA has the following characteristics: (1) emphasizing the document semantic learning; (2) low dimension in document representation; (3) weakening the discount of document retrieval precision caused by synonymy and polysemy in theory.
引用
收藏
页码：80 / 83
页数：4
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