inis 17(10): e1

Research Article

Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources

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  • @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
Haklae Kim1,*, Jungyeon Yang2
  • 1: Korea Institute of Science and Technology Information, 245 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea
  • 2: Samsung Electronics Co., Ltd., (Maetan dong) 129, Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16677, Korea
*Contact email: haklaekim@gmail.com

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.

Keywords
Knowledge base; knowledge graph; linked data; entertainment.
Received
2016-11-21
Accepted
2016-12-30
Published
2017-02-01
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-2-2017.152152

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.