The Determination of Semantic Dimension in Social Tagging System Based on SOM Model

Author

Li, Baozhen ; Zhu, Qinghua

Author_Institution

Econ. & Manage. Sch., Jiangsu Univ. of Sci. & Technol., Zhenjiang

Volume

1

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

909

Lastpage

913

Abstract

It is the social tagging that users tag the networked information resources from bottom to up. Different from the traditional experts classification, the semantic classification of tags formed by social tagging has some self-organizing characteristics. We try to use the self-organizing characteristics of SOM neural networks to classify the popular tags in "Del.icio.us" website, to determine the tags semantic dimension in social tagging system, and to provide semantics references for information users to use tags.

Keywords

Web sites; information networks; self-organising feature maps; social sciences computing; Del.icio.us website; SOM model; SOM neural networks; networked information resources; self-organizing characteristics; social tagging system; Frequency; Information resources; Information retrieval; Neural networks; Neurons; Resource management; Statistical analysis; Tagging; Technology management; Thesauri; SOM Neural Network; Semantic Classification; Semantic Dimension; Social Tags;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.76

Filename

4739703