Constructing a Knowledge Base for Entertainment by Interlinking Multiple Data Sources

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.

• Publication year

  2017

• Venue

  EAI Endorsed Trans. Ind. Networks Intell. Syst.

• Publication date

  2017-02-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.4108/eai.1-2-2017.152152
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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