A review of similar entity search research based on knowledge graph

Abstract

In the era of big data, how to help users accurately filter out effective information from a large amount of digital information is the current challenge facing search engines. Knowledge graph has richer semantic information and can effectively conduct more accurate object-level search, and it is a major change to apply knowledge graph to search engine. In this paper, we summarize the classification of similar entity measurement algorithms based on knowledge graphs, review the development history of similar entity measurement algorithms under different algorithm classifications, introduce typical algorithms and prospect the future development.