Knowledge graph quality control: A survey

A knowledge graph (KG), a special form of semantic network, integrates fragmentary data into a graph to support knowledge processing and reasoning. KG quality control is important to the utility of KGs. It is essential to inves-tigate KG quality and the parameters influencing KG quality to better understand its quality control. Although many works have been conducted to evaluate the dimensions of KG quality, quality control of the construction process, and enhancement methods for quality, a comprehensive literature review has not been presented on this topic. This paper intends to fill this research gap by presenting a comprehensive survey on the quality control of KGs. First, this paper defines six main evaluation dimensions of KG quality and investigates their correlations and differences. Second, quality control treatments during KG construction are introduced from the perspective of these dimensions of KG quality. Third, the quality enhancement of a constructed KG is described from various dimensions. This paper ultimately aims to promote the research and applications of KGs.

Automated summary

This paper aims to fill the research gap on the quality control of knowledge graphs, promote research and applications by providing a comprehensive survey on the six main evaluation dimensions of KG quality, quality control treatments during KG construction, and quality enhancement methods.