Research on the Interdisciplinary Knowledge Organization and Visualization of Literatures Under the Background of Large Language Model
[Purpose/Significance]In the big science era,the integration of interdisciplinary knowledge has become an important direction for scientific development,bringing both opportunities and challenges to the knowledge services.To provide effective interdisciplinary knowledge services,library and information researchers need to organize knowledge from different disciplines.[Method/Process]By using named entity recognition techniques and sentiment analysis methods in large language models,this paper identified and quantified hidden interdisciplinary concepts and knowledge connections in citation content.By combining RDF data format and Virtuoso database,it organized the interdisciplinary knowledge in literatures.Taking domestic library and information science as an example,it visualized the combination paths and acceptance levels of interdisciplinary knowledge,so as to analyze the integration process and evolution of interdisciplin-ary knowledge from multiple dimensions.[Result/Conclusion]The study adopts a new method to measure the acceptance of interdisciplinary knowledge combinations in the disciplinary by analyzing citation sentiment,and carries out the knowledge organization.By visualizing the process,path,and effects of interdisciplinary knowledge integration,this study provides some references for further exploration in the field of the interdis-ciplinary knowledge organization.
knowledge organizationinterdisciplinarylarge language modelontologylinked data
万方数据
维普
