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Research On The Development Of Knowledge Service Of Publishing Institutions Based On Knowledge Graph

Posted on:2022-01-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y GaoFull Text:PDF
GTID:2518306320476164Subject:published
Abstract/Summary:PDF Full Text Request
As the world enters into the artificial intelligence society,all walks of life are actively seeking the intelligent transformation,and the application fields of Knowledge Graph are becoming more and more extensive.As a kind of knowledge representation method,Knowledge Graph essentially represents a kind of large-scale semantic network,which is composed of entities,attributes and various semantic relations between them.It can extract the entity information from the knowledge resources,and dig deep into its potential correlation,so as to integrate the fragmented knowledge.On the one hand,it can not only return corresponding results according to retrieval,but also support the reasoning of multiple problems,which is enough to show that knowledge has no boundary and is interlinked with each other.Therefore,this paper takes the Knowledge Graph technology as the entry point to study the status quo and development of its application in knowledge service of publishing institutions.This paper uses literature analysis,case analysis,and interdisciplinary research methods to study the knowledge services of publishing institutions based on Knowledge Graph.Firstly,sort out the concepts and development history of knowledge services and Knowledge Graph,and explain the application opportunities of Knowledge Graph in the knowledge service of publishing institutions.Secondly,analyze the application value of Knowledge Graph in publishing institutions' knowledge services,analyze the status quo of application of Knowledge Graph in publishing institutions' knowledge services through case studies.Thirdly,analyze the restrictive factors at the content construction level,data security level,technical limitation level,cost level and income-generating ability level in the application process.Finally,based on the above analysis,we propose an improvement strategy for data opening,strengthening data security protection,seeking collaboration,and exploring sustainable profit models.
Keywords/Search Tags:Knowledge Graph, knowledge service, publishing institution
PDF Full Text Request
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