Adaptive knowledge graph extraction in the area of job descriptions through dependency structure analysis

Abstract

Efficient extraction and organization of knowledge graphs from encyclopedic documents, such as Wikipedia, can be expected using natural language processing tools.However, there are differences in the target domain of the knowledge description, and it is not easy to adjust the algorithm for knowledge graph extraction according to the target domain. This paper proposes a general-purpose natural language processing interface for knowledge extraction that can be customized to meet specific requirements and characteristics according to the target domain of the knowledge description.