Use learnable knowledge graph in dialogue system for visually impaired macro navigation

Ching Han Chen, Ming Fang Shiu, Shu Hui Chen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Dialogue in natural language is the most important communication method for the visually impaired. Therefore, the dialogue system is the main subsystem in the visually impaired navigation system. The purpose of the dialogue system is to understand the user’s intention, gradually establish context through multiple conversations, and finally provide an accurate destination for the navigation system. We use the knowledge graph as the basis of reasoning in the dialogue system, and then update the knowledge graph so that the system gradually conforms to the user’s background. Based on the experience of using the knowledge graph in the navigation system of the visually impaired, we expect that the same framework can be applied to more fields in order to improve the practicality of natural language dialogue in human–computer interaction.

Original languageEnglish
Article number6057
JournalApplied Sciences (Switzerland)
Issue number13
StatePublished - 1 Jul 2021


  • Dialogue system
  • Knowledge graph
  • NLP
  • Navigation system
  • Reasoning
  • Visually impaired assistance


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