Title :
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
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;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.76
