GB-JER: A Graph-Based Model for Joint Entity Resolution

Chenchen Sun, Derong Shen, Yue Kou, Tiezheng Nie, Ge Yu

Abstract: To resolve multiple classes of related entity representations jointly promotes accuracy of entity resolution. We propose a graph-based joint entity resolution model: GB-JER, who exploits a dynamic entity representation relationship graph. It contracts the neighborhood of the matched pair, where enrichment of semantics provides new evidences for subsequent entity resolution iteratively. Also GB-JER is an incremental approach. The experimental evaluation shows that GB-JER outperforms existing the state-of-the-art joint entity resolution approach in accuracy.