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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.