Extracting Associative Entities From Logic Rules in Knowledge Graph

The task of associative entities extraction is to provide top-ranked entities in knowledge graph (KG) w.r.t the query entity. In this paper, we propose the method for extracting associative entities from logic rules. We first use the AMIE+ algorithm to extract logic rules implied in KG, and then give the idea of resource allocation to calculate the association degree between entities. Experimental results show that the effectiveness of our proposed method outperforms other competitors.