Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources

• Main Authors: Haklae Kim, Jungyeon Yang
• Format: Article
• Language: English
• Published: European Alliance for Innovation (EAI) 2017-02-01
• Series: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
• Subjects: knowledge base; knowledge graph; linked data; entertainment.
• Online Access: https://eudl.eu/pdf/10.4108/eai.1-2-2017.152152

This paper describes a knowledge base for entertainment domains, including movies, music, and celebrities. We present an ontology model for representing graph-based knowledge, and describe knowledge processing techniques for constructing an entertainment knowledge base, which is comprised of collection and extraction of large-scale data, and knowledge transformation from them. In particular, we address entity resolution and consolidation techniques for integrating particular entities among heterogeneous data sources. We also demonstrate a mobile application using this knowledge base, which allows users to discover relevant entertainment content based on question & answer system.