Research of Chinese Word Knowledge Graph Based on SLPA Algorithm

Abstract

The different semantics of Chinese words will make a variety of relations between Chinese words. In the known relationship, synonymy, antisense, hypernym, etc. are the most common relationship. Because of the intricate relationship between Chinese words, so that words and other words form a series of knowledge network, which contains a variety of useful information. Based on these knowledge networks, this paper establishes the knowledge graph of Chinese words and analyzes the inherent characteristics of Chinese words. Establish the semantic database of words, and improve the semantic library structure, including the relationship between the number of semantic library words and words (synonymy, hypernym, etc). Based on the semantic database, the semantic network is formed, and community discovery is carried out for the collection of synonyms in the semantic network, and the community properties are extracted to form a complete semantic relation network.