Development of an access method to menu ontology data through converting natural language into SparQL queries

Yuri Murayama, Ichiro Kobayashi, Takeshi Morita, Yukiko Nakano, Takahira Yamaguchi

Research output: Contribution to journalConference article

Abstract

In recent years, vast amount of knowledge in various fields is open to the public on the Web. This knowledge will be helpful for understanding natural language if it is used in a natural language processing system. With this background, we propose a method to generate SPARQL queries by reference to the knowledge iteratively. Besides, as an experiment to evaluate our proposed method, we plan to introduce our work to a service interaction at a robot cafeteria.

Original languageEnglish
Pages (from-to)13-20
Number of pages8
JournalCEUR Workshop Proceedings
Volume2293
Publication statusPublished - 2018 Jan 1
EventWorkshop and Poster 8th Joint International Semantic Technology Conference, JIST-WP 2018 - Awaji City, Hyogo, Japan
Duration: 2018 Nov 262018 Nov 28

Keywords

  • Natural language
  • Semantic parsing
  • SPARQL query generation

ASJC Scopus subject areas

  • Computer Science(all)

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