Automatic building Robot Technology ontology based on basic-level knowledge

Trung Lam Ngo, Haeyeon Lee, Makoto Mizukawa

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

When robot comes to our daily life, sharing knowledge is a key factor to realize the symbiosis between human and robot. In previous research, Robot Technology (RT) ontology was proposed as a knowledge base to help robot understands human's intention in daily activities. However, the method to build that ontology was not discussed. This paper presents our approach to build RT ontology based on basic-level knowledge. We proposed a new structure for RT ontology with Where, What, and How layers based on 4W1H. As for input data, we used educational books and MIT's ConceptNet. Our method is able to build RT ontology automatically by extracting objects and human activities from these data sources. We also implemented a weighting mechanism for the new ontology. Result shows that our method achieved better accuracy than conventional approach using Internet data.

Original languageEnglish
Pages (from-to)515-522
Number of pages8
JournalJournal of Robotics and Mechatronics
Volume23
Issue number4
DOIs
Publication statusPublished - 2011 Aug

Keywords

  • Basic level knowledge
  • Common sense
  • Human robot interface
  • RT ontology

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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