Research On Knowledge Aggregation Mode Of Virtual Learning Community Based On Knowledge Relevance Theory

With the changing of network information environment and user information requirements,the virtual learning community needs to optimize the knowledge polymerization process and investigate the polymerization process,technique and dimension of the virtual learning community from multi-perspective.The complementation of knowledge polymerization process is an efficient path of extending the knowledge polymerization dimension.Thus,this paper extends the polymerization dimension of the virtual community knowledge resource by trying the cluster dimensions and the relevant dimension,realizing the polymerization of virtual community knowledge resource.The specific research content of this paper is as follows:(1)This paper expounded the recent development of the studies in knowledge relevance,knowledge polymerization and virtual community at home and abroad,and put forward the multi-dimensional polymerization process of social network and associated data fusion based on theoretical analysis studies and methods of relevant data fusion.(2)The paper studied mechanism of polymerization of cluster dimension polymerization mode and relevant dimension polymerization mode.Though introducing social network analytical approach and associated data approach from the complementation of the fusion of knowledge resource polymerization process,the advantages and disadvantages in realizing the polymerization process of knowledge resource were analyzed.On this basis,the mechanism of cluster dimension-relevant dimension multiple polymerase was studied,and the direction and form of social network analytical approach and associated data fusion were described in detail at the same time.(3)On the basis of analyzing the advantages and disadvantages cluster dimension and relevant dimension in knowledge polymerization process respectively,this paper constructed the polymerization model of the cluster dimension-relevant dimension multiple polymerization mode virtual learning community knowledge.Through studying the model,we can see that the combination of relevant dimension and cluster dimension clears up the complex and unordered visual learning community digital resource more systematically by studying the fusion mechanism of relevant dimension and cluster dimension,constructing the knowledge base of visual learning community digital resource from the macroscopic and microcosmic aspect.Through recombining visual learning community digital resource of source isomerism,structure isomerism and reveal isomerism orderly,the seamless fusion of knowledge base and user requirement were realized,the experience of user knowledge acquisition was promoted and the bi-directional extension of digital resource polymerization in depth and breath was realized.At the same time,the disadvantages of knowledge structure debunching and insufficient attention of associated data aggregate user characteristics using social network polymerization were well solved.