Research On The Construction And Application Of Knowledge Network In Social Tagging Environment

In the web2.0 network environment where users are widely involved in information creation,social tagging,as a more free mode of knowledge organization,has been widely concerned and applied due to its outstanding advantages.There are a large number of knowledge contents and knowledge relationships hidden in the massive data on the social annotation platform.Digital technology makes it possible to reveal and mine these contents and relationships.How to optimize the knowledge organization mode of social annotation has also attracted the hot attention of the industry.Because of this,this article is based on the application of domestic famous social tagging website douban real data,by means of the complex networks theory knowledge,comprehensive use of various scientific measurement method,build the knowledge network of social tagging environment,analyzes the features of social tagging environment knowledge network,and try to use the knowledge network to optimize social tagging knowledge organization model.Firstly,the original data of this study were crawled by using the crawler technology,and the knowledge network based on the co-occurrence relationship of labels and the knowledge network based on the formal concept analysis were constructed respectively.Secondly,the topological properties,global characteristics,knowledge hierarchy and association rules of knowledge network are analyzed.Finally,some reasonable Suggestions are put forward for the application of knowledge network.Through the research of this paper,it is found that the knowledge network under the social labeling environment has the characteristics of small-world network,the typical scale-free feature,the mature clustering structure feature and the high consistency between node degree and mediation degree.According to the problems such as unclear Angle in the application of knowledge network based on social labels,lack of mapping of knowledge network,and difficulty in transforming association rules into knowledge service,this paper proposes that we can start from the aspects of clear application Angle,collaborative improvement of knowledge system,and in-depth exploration of association rules.