Construction And Measurement Of Knowledge Network In The Field Of Agricultural Bulk Spot Electronic Transaction Research

With the rapid development of China's economy and Internet,the knowledge and information of enterprises are growing rapidly.And an effective knowledge transmission path is one of the approaches in improving the knowledge and information economy.Enterprises improve tacit and explicit knowledge sharing,storage,transmission and acquisition through the existing dynamic working system.However,problems such as weak knowledge transmission,knowledge sharing and inefficiency are still existed.One of the solutions to solve the problems of knowledge flow,transfer,acquisition is learning to construct a better domain knowledge network.Reasonable and efficient domain knowledge network path can help knowledge innovation,i.e.,innovation of enterprise core competitiveness.Efficient knowledge transmission helps to integrate and utilize knowledge resources and enables enterprises run efficiently.In respective to the functional development of the agricultural bulk spot electronic transaction mode,the existing knowledge innovation is a new source of knowledge and continuous development of the enterprises.Some of the knowledge needs to be shared and circulated well.This paper has achieved the agriculture through the construction of the domain knowledge network of the agricultural bulk spot electronic transaction mode,the rational combination of domain knowledge and network.Tacit and explicit knowledge can effectively organize memory,transfer and utilize knowledge in bulk spot electronic transaction mode.Reasonable construction of knowledge network transmission path can also promote knowledge management in the core,middle and periphery of the enterprise,and achieve the purpose of enhancing the core competitiveness of the enterprise.Firstly,this paper elaborates and analyses the basic situation of agricultural bulk spot electronic transaction enterprises,research status at home and abroad,functional knowledge of agricultural bulk spot electronic transaction mode,domain knowledge,sub-domain knowledge and knowledge nodes,and then divides domain knowledge based on agricultural bulk spot electronic transaction domain knowledge.Secondly,ontology representation is used to represent domain knowledge,and conceptual level is expressed to establish the association relationship of knowledge nodes in primary domain knowledge network.Then,particle swarm optimization is used to optimize the connection of knowledge nodes.After that,social network analysis software UCINET is used to measure domain knowledge network,and cluster coefficient,intermediary centrality and degree distributions are used to verify the construction of domain knowledge network.Finally,through ontology representation,social network analysis,particle swarm optimization,etc.,we build,optimize and verify the practicability of knowledge network in the Great Northern Wilderness agricultural bulk spot electronic trading field,provide technical support for the Great Northern Wilderness bulk spot electronic trading enterprises,enhance enterprise knowledge management,and enhance the core competence of the Great Northern Wilderness agricultural bulk spot trading enterprises.