Constructing Movie Domain Knowledge Graph Based on LOD

Abstract

Domain-specific knowledge graphs can represent complex domain knowledge in a structured format and have achieved great success in practical applications. Recently, knowledge graphs have been widely used in recommender systems because of their ability to integrate various recommendation models and deal with data sparseness and cold-start problems. In this paper, we propose an approach to extract movie related information from Linked Open Data (LOD) and construct the knowledge graph of movie domain. And the Neo4j graph database, which is characterized by friendly user interface and quick inquiry, is used to visualize the knowledge graph.