The Research Of Cross-disciplinary Knowledge Discovery Between Intelligent Technology And Other Sciences

As the modern knowledge system continues to develop,the exchange of knowledge between different disciplines has become increasingly frequent.The breaking down of disciplinary barriers and the integration of cross-disciplinary knowledge has become a development trend.This study utilizes topic modeling and social network analysis to explore the current status of cross-disciplinary knowledge integration in the field of intelligent technology.The research results reveal the development trends and important research directions of the field,providing scholars with new perspectives for consideration.By analyzing multiple dimensions such as document themes,author groups,and multi-co-occurrence hypernetworks,this study expands the understanding of the knowledge system in the field of intelligent technology,which helps to promote further development of cross-disciplinary research in the field and provides support for future innovation and change.This paper uses CSCD database as the data source,and uses topic model,Ucinet and Gephi software to explore the knowledge structure and cross-network characteristics of the field of intelligent technology from the perspectives of topic,author and citation,so as to discover the current situation of interdisciplinary knowledge integration in the field.The main findings and conclusions of this paper are as follows:(1)Intelligent technology and other scientific fields have formed a multi-disciplinary cooperation and cross-disciplinary research situation.(2)Intelligent technology field and other scientific fields involve 31 central topics,among which artificial intelligence,structural mechanics and automatic control are the most core topics.(3)The core author group of intelligent technology and other scientific fields can be divided into six subgroups,each with its own research direction and characteristics.(4)Intelligent technology field and other scientific fields form seven disciplinary directions of knowledge crossing,among which coal development and intelligent mine,metallurgy and metal technology and intelligent system are the most core disciplinary directions.(5)The cross-network of intelligent technology field and other scientific fields shows the characteristics of small world network,and has high efficiency,closeness,innovation and synergy.These findings not only help us better understand the knowledge crossing process and its regularity between intelligent technology and other scientific fields,but also provide reference for promoting cross-disciplinary cooperation and innovation.