Research On The Model Construction And Promotion Strategies Of Industry Knowledge Discovery Service Under The Environment Of Big Data

Under the environment of big data,a huge amount of data information has been generated in the production activities of various industries and fields.These industrial data contain great scientific research value and commercial value,which are in urgent need of mining and utilization by industrial users.At the same time,users’ information needs are gradually becoming personalized customization and deep participation in the service process.The existing knowledge discovery services have been unable to fully meet the needs of industrial users in terms of richness,flexibility,interaction and customization.In view of this prominent contradiction,this paper focuses on the knowledge discovery service model construction and promotion strategy.In the process of research promotion,this paper builds an industry knowledge discovery service model according to the characteristics of industry users’ knowledge discovery service demands in the big data environment.In addition,the promotion and implementation of industrial knowledge discovery services is a complex topic.At present,most service providers provide knowledge discovery services to the outside world in the form of spontaneity,so the promotion and implementation of services are lack of systematicness and strategy.Based on this,on the basis of constructing the industry knowledge discovery service model,this paper further studies the promotion strategy of the industry knowledge discovery service under the big data environment.Finally,CKCEST is taken as an example to analyze the current situation and problems of knowledge discovery service provided by CKCEST,and put forward corresponding optimization suggestions.Specifically,the full text includes the contents of the following six parts.The first chapter is the introduction,which first summarizes the background and significance of the research,then sorts out the current research situation at home and abroad,and finally introduces the ideas and methods of the research work,and explains the innovation of the research.The second chapter elaborates the theoretical basis of this paper.This research is mainly based on knowledge service theory,knowledge discovery service theory and micro-service architecture theory.Firstly,this chapter introduces the connotation,characteristics and mode of knowledge service.Then the connotation and application of knowledge discovery service are analyzed.Finally,the core components and characteristics of the micro-service architecture are described.The third chapter builds the industry knowledge discovery service model based on the characteristics of industry users’ knowledge discovery service demand in the big data environment.This chapter first analyzes the results of network survey,and learns that the industry users’ demand for knowledge discovery service is characterized by richness,flexibility,depth and interactivity.Based on these characteristics,the industry knowledge discovery service model is constructed.The model is supported by the micro-service architecture,including three modules:industry big data resource collection and processing,industry knowledge discovery tool library,and knowledge discovery service function.The fourth chapter explores the promotion strategy of industrial knowledge discovery service under the environment of big data.Specifically,this paper analyzes how to promote and implement industry knowledge discovery services in the context of big data from three aspects:focusing on the construction and mining of cross-language industry big data resources,building an open platform for industry knowledge discovery services and building an ecosystem based on the open platform.The fifth chapter takes CKCEST as an example to analyze.Based on the analysis of the status quo and deficiencies of the existing knowledge discovery services in China Engineering Science and Technology Knowledge Center(CETC),targeted optimization suggestions are put forward based on the model constructed above.The sixth chapter is summary and prospect.Firstly,the research ideas and contents of the whole paper are sorted out,and the research viewpoints and conclusions of this paper are summarized.Then,the shortcomings of this paper are pointed out,and the future research direction is prospected on this basis.