An ontology-powered dialogue engine for patient communication of vaccines

Muhammad Amith, Rebecca Lin, Licong Cui, Dennis Wang, Anna Zhu, Grace Xiong, Hua Xu, Kirk Roberts, Cui Tao

Research output: Contribution to journalConference articlepeer-review


In this study, we introduce an ontology-driven software engine to provide dialogue interaction functionality for a conversational agent for HPV vaccine counseling. Currently, the HPV vaccination rates are low that risks unprotected individuals at being infected with HPV, a virus that leads to life-threatening cancers. In addition, we developed a question answering subsystem to support the dialogue engine. In this paper, we discuss our design and development of an ontology-driven dialogue engine that uses the Patient Health Information Dialogue Ontology, an ontology that we previously developed, and a question answering subsystem based on various previous methods to supplement the dialogue engine’s interaction with the user. Our next step is to test the functional ability of the ontology-driven software components and deploy the engine in a live environment to be integrated with a speech interface.

Original languageEnglish (US)
Pages (from-to)24-30
Number of pages7
JournalCEUR Workshop Proceedings
StatePublished - 2019
Externally publishedYes
Event4th International Workshop on Semantics-Powered Data Mining and Analytics, SEPDA 2019 - Aukland, New Zealand
Duration: Oct 27 2019 → …


  • Conversational agent
  • Dialogue management
  • Ontology
  • Question answering
  • Vaccines

ASJC Scopus subject areas

  • General Computer Science


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