Research Article
Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources
@ARTICLE{10.4108/eai.1-2-2017.152152, author={Haklae Kim and Jungyeon Yang}, title={Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources}, journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems}, volume={4}, number={10}, publisher={EAI}, journal_a={INIS}, year={2017}, month={2}, keywords={Knowledge base; knowledge graph; linked data; entertainment.}, doi={10.4108/eai.1-2-2017.152152} }- Haklae Kim
Jungyeon Yang
Year: 2017
Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources
INIS
EAI
DOI: 10.4108/eai.1-2-2017.152152
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.
Copyright © 2017 Haklae Kim and Jungyeon Yang, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
