Original scientific paper

https://doi.org/10.17559/TV-20191004092659

Knowledge Graph Analysis of Internal Control Field in Colleges

Jun Wang ; School of Economics and Management, Beijing Jiaotong University, No. 3, Shangyuancun, Haidian District, Beijing, China

Abstract

Knowledge graph is a new method to describe concepts, instances and their relationships in the objective world. In recent years, it has attracted people's wide attention. Knowledge graph can effectively expand the breadth of search results. At present, in the field of internal control of colleges and universities, the key word search technology is mainly used to retrieve relevant knowledge content. It is difficult to retrieve information by using the relation between objects. Therefore, this paper first proposes a knowledge graph construction method for internal control in universities, through which the knowledge graph of internal control policy in universities can be constructed. Then, this paper proposes a knowledge inference method based on inference rules, which USES the knowledge hidden in the knowledge graph of internal control policy to realize intelligent data retrieval. Finally, the CiteSpace software is used to realize the visualization display in the field of internal control in universities and realize the construction of internal control knowledge graph and visualization research. The system can effectively utilize the relationship between knowledge objects of internal control and give full play to the value of information resources of internal control.

Keywords

CiteSpace; Construction Methods; Internal Control; Knowledge Graph; Visualization

Hrčak ID:

234161

URI

https://hrcak.srce.hr/234161

Publication date:

15.2.2020.

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