Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources
Journal Title: EAI Endorsed Transactions on Industrial Networks and Intelligent Systems - Year 2017, Vol 4, Issue 10
Abstract
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.
Authors and Affiliations
Haklae Kim, Jungyeon Yang
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