Research On Modeling And Key Technologies Of Cross-boundary Multi-source Academic Knowledge Integration Platform

Research is the foundation of academia and the driving force for continuous innovation.With the development of network information,the scale of academic data has exploded,and various types of academic knowledge platforms have become indispensable auxiliary tools for scholars' research activities.Knowledge platform provides a large amount of multi-type knowledge in the process of scholars' research,such as literature,theoretical knowledge,data,conference information,journal information,etc.Through the research,this paper finds that there are three kinds of problems existing in the current knowledge platform to assist scholars' research activities.First,it is difficult for scholars to search for knowledge in the situation of multi-source knowledge and information explosion.Secondly,in the face of massive academic knowledge,it is difficult for scholars to use knowledge.Finally,in the process of scientific research,scholars have insufficient grasp of scientific research methods and lack of platform scientific research process guidance.Therefore,in view of the above problems,this paper focuses on how to provide scholars with a multi-source academic knowledge integration platform(K-Hub platform for short),and solve the problems that scholars are difficult to find and use knowledge and lack of platform based research guidance.The work content of this paper is mainly divided into three parts.Firstly,according to the knowledge boundary related theory,a multi-source academic knowledge combination framework is constructed from the perspective of grammar,semantics and pragmatics,and the K-Hub platform model of this research is constructed by introducing the knowledge graph and the theory graph.Secondly,this paper also explores and implements the key technologies for constructing the K-Hub platform,including crossboundary resource acquisition technology,academic knowledge graph technology,and multi-source knowledge recommendation and retrieval technology.By designing two resource collection methods,help the platform to introduce new resources;By sorting out the contents of different types of knowledge platforms,a multi-source academic knowledge map is constructed.By adding semantic similarity recommendation of knowledge graph to academic resource model and user interest model,personalized recommendation of academic resources is realized.Finally,the prototype of multi-source academic knowledge integration platform is constructed,in which the functions of multisource academic information retrieval,personalized academic information recommendation and research guidance based on expert research methods are realized.This paper theoretically studies the integration of cross-boundary multi-source academic knowledge,and constructs the framework of multi-source academic knowledge combination model from the perspective of grammar,semantics and pragmatics.In practice,the prototype of multi-source academic knowledge integration platform is designed and developed to realize the integration of multi-types of academic knowledge.The work of this paper will have certain theoretical and practical value for the integration of multi-source academic knowledge.