Study On Multidimensional Aggregation Of Digital Resources Based On Folksonomy

With the popularization and application of the network technology, the developmentand utilization of digital information resources have become a major task endowed by thetimes. As everyone knows, the organization of digital resource is the prerequisite for thedevelopment and utilization of digital resources, but in fact the organization of digitalresource often presents the partial ordered and disordered situation overall, embodied in thedigital resource, digital resource overload, which greatly hinders the acquisition and sharingof the digital resources of users. In order to get rid of the dilemma, all the scholars havefocused on how to reorganize digital resources to solve this problem. In the long-termexploration and practice, domestic scholars have in turn formed two such modes on how toreorganize the digital resources as the "integration of resources" and "resource sharing". Acomplete system of polymerization method of digital resources has not been formed, butthey have also explored two kinds of effective methods of operation: knowledgeorganization method and quantitative analysis method. The former one mainly uses conceptanalysis, ontology, relational data and other methods to enhance the resource semantics; thelatter one mainly uses co-occurrence, coupling relationship, social network analysis methodof mining resources association.At present, the digital resources aggregation approach and knowledge discovery isrealized by the dimensions of the organizational structure of the domain ontology. Thesemantic degree is high but can’t get rid of the shackles of concept tree structure. Thecorrelation dimension is able to break through the rigorous and harsh topic hierarchy limit.The two-dimensional tree structure is extended to three-dimensional network space basedon the relationship between knowledge. Transfer diffusion dimension is the subjectivecognition and objective attribute of human knowledge combination, which fully embodiesthe interaction between knowledge and human. The author believes that, in order toexamine the digital resources integration of multidimensional perspective of polymerization,which helps to break through the bottleneck of the field of knowledge organization andresearch, the complex network analysis and Folksonomy fusion based on degree of polymerization is possible. In view of this, this study attempts to organically combineFolksonomy and complex network analysis into a set of system, puts forward the idea ofmultidimensional digital resources of degree of polymerization of the complex networkanalysis based on Folksonomy mode, and explores the solution to improve the modernknowledge service.This study follows the technical route of the "theory model empirical", focuses on thecomplex network and Folksonomy complementary digital resources" under the perspectiveof the integration of the multidimensional polymerization", discusses the multidimensionaldigital resources from the dimensions of organization structure, spreads three aspectsdimension and correlation dimension and constructs a theoretical framework ofmultidimensional digital resources polymerization. The main research contents are asfollows:(1) Through the analysis and summary of the topics related with the domestic andforeign literature, the logical clue of this thesis is the basic logic structure dimension ofdigital resources polymerization; digital resources aggregation of social logic clusterdimension; the extended logic digital resources aggregation associated dimension.(2) From the four aspects of resource aggregation concept, dimension, implementationtechnology and application this study conducts comparative analysis of Folksonomy andcomplex network analysis and tries to find the Folksonomy and complex network analysispolymerization fusion point in the direction of digital resources.(3) Through the attribute analysis of the user label network and modularized, the tagcloud label is divided into a number of knowledge communities. By the cooperation withline, color, font size, from the perspective of optimizing the tag cloud theme knowledgerelated, it provides the basis for the tag cloud system R&D.(4) By using complex network analysis method, this study conducts research ondimensional expanding of Folksonomy based on network centrality of labels, networkcluster of labels, and network connection of labels,.(5) From the three dimensions of structure dimension, cluster dimension and associated dimension, this study conducts research on digital resources aggregation based onFolksonomy of the complex network.