Semantic Graph-Based Approach for Document Organization

被引：0

作者：

Velazquez-Garcia, Erika ^{[1
]}

Lopez-Arevalo, Ivan ^{[1
]}

Sosa-Sosa, Victor ^{[1
]}

机构：

[1] Cinvestav Tamaulipas, Informat Technol Lab, Victoria, Mexico

来源：

DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE | 2012年 / 151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：

Actual document search engines base searches on the file name or syntactic content, which means that the word or part of the word to search must exactly match. This article proposes a semantic graph-based method for document search. The approach allows to organize, search, and display documents or groups of documents. Groups are formed according to topics contained in documents.

引用

页码：469 / 476

页数：8

共 13 条

[1]

[Anonymous], 2009, INTRO INFORM RETRIEV

[2] Latent Dirichlet allocation [J].

Blei, DM ;

Ng, AY ;

Jordan, MI .

JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) :993-1022

[3]

Fischer H., 2011, SOURCES STUDIES HIST, P353

[4]

Golemati M, 2007, IEEE INT CONF INF VI, P93

[5]

Guo-Song Zhou, 2010, 2010 International Conference on Computational Problem-Solving (ICCP 2010), P413

[6]

Guzman I.O., 2010, THESIS CINVESTAV TAM

[7]

Hersh W, 2009, HEALTH INFORM SER, P3

[8]

Kohonen T., 1982, BIOL CYBERN, V43, P241

[9]

Malo P., 2010, Proceedings 2010 10th IEEE International Conference on Data Mining Workshops (ICDMW 2010), P518, DOI 10.1109/ICDMW.2010.74

[10] In pursuit of desktop evolution: User problems and practices with modern desktop systems [J].

Ravasio, Pamela ;

Schär, Sissel Guttormsen ;

Krueger, Helmut .

ACM Transactions on Computer-Human Interaction, 2004, 11 (02) :156-180

← 1 2 →