The Resources Aggregation Of Social Tagging System

With the constant change of network information environment and theinformation needs of users, social tagging system is trying to optimize the process ofresources aggregation; to explore the multi-dimensional aggregation of social taggingsystem resources has become a research hotpot. The complementary and fusion ofresources aggregation method is an effective method to extend resources aggregationdimension, therefor, this paper attempts to fuse two aggregation methods offolksonomy and social network analysis, expands the social tagging system resourcesaggregation dimension, and realizes the aggregation of social tagging systemresources. The specific contents of this paper research are as following:(1) Analysis on the research status of domestic and foreign social tagging systemand resources aggregation. Through the review of literature, few scholars both athome and abroad study social tagging system resources aggregation from theaggregation methods perspective. They lack further researches of social taggingsystem resources aggregation mechanism and model, and domestic scholars lackempirical researches of social tagging system resources aggregation.(2) Research on social tagging system resources aggregation mechanism. Thisarticle starts with analyzing the complementary and fusion of resources aggregationmethods, briefly introduces the methods of social network analysis and folksonomy,analyses the advantages and disadvantages in the resources aggregation process of thetwo, and on the basis constructs social tagging system resources aggregationmechanism. The mechanism elaborates the different circumstances and direction offolksonomy and social network analysis fusion, which gives vital guiding significancefor the theory and practice research.(3) The research of social tagging system resources aggregation model. With theguidance of social tagging system resources aggregation mechanism, constructingsocial tagging system resources aggregation model, from three aspects of syntax, semantics and pragmatics, the model is divided into the data layer, aggregation layer,analysis layer, application layer, In the model constructing process, Fully integratingthe advantages of social network analysis and folksonomy, With the help of thesaurusto eliminate the disadvantages of the aggregation.(4) The research of social tagging system resources model application. Settingtags of Library and information science books in Durban as the empirical sample data.Based on the analysis of current situation of resources aggregation of Durban, withthe help of related tools and techniques of social network analysis and thesaurus, thispaper mines the potential co-occurrence relationships of tags, makes semantic andhierarchy relationships clear of tags, and achieves resources aggregation in breadthand depth directions.