Knowledge System for Related Scholars of Specific Field Based on Collaborative Relationship

In the field of research related to scholars, many studies are based on the analysis of typical achievements, affiliated institutions, and collaborative relationships among scholars. Considering the gaps in different disciplines or fields, analyzing all scholars and their achievements together may have a certain impact on performance of data processing and analysis. In this study, intelligent analysis will be conducted on the achievements in specific fields, and relevant technologies will be used to extract term entities from existing literature. The keywords will be extracted to study the relevance from the literature. Then, relevant entities extracted from bibliographic data will be used to establish entity and obvious association relationship, such as relationship between authors, relationship between author and keywords, relationship between literature and institution, and relationship between institutions. The significance of scholars or institutions in related fields can be discovered from the these many different relationships of collaborative networks. The experimental results indicate that analyzing data entities and mining association relationships in specific fields, which combined with knowledge graph, can effectively establish the knowledge system of scholars or teams in specific fields.