Provision of Thai herbal recommendation based on an ontology

Takumi Kato, Noppadol Maneerat, Ruttikorn Varakulsiripunth, Satoru Izumi, Hideyuki Takahashi, Takuo Suganuma, Kaoru Takahashi, Yasushi Kato, Norio Shiratori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

In Thailand, most of people like to use Thai herbs for their traditional medical treatments. However, since there are various sorts of Thai herbs, and the Thai herbal knowledge is complicated, it is difficult to find an appropriate one for each health condition. In order to help people to find suitable Thai herbs to cure the diseases, we have developed a system to provide herbal recommendations to users regarding their symptoms. In the development, we represented the Thai herbal knowledge in an ontology, and extracted new facts based on the ontology. Finally, the system provides appropriate herbal recommendations to users based on extracted facts and the ontology. This paper shows how we represented Thai herbal knowledge in an ontology, and how we extract the new facts based on the ontology, as well as how the system provides herbal recommendations to users.

Original languageEnglish
Title of host publication3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings
Pages217-222
Number of pages6
DOIs
Publication statusPublished - 2010
Event3rd International Conference on Human System Interaction, HSI'2010 - Rzeszow, Poland
Duration: 2010 May 132010 May 15

Publication series

Name3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings

Other

Other3rd International Conference on Human System Interaction, HSI'2010
Country/TerritoryPoland
CityRzeszow
Period10/5/1310/5/15

Keywords

  • Inference
  • Knowledge representation
  • Ontology
  • Thai herb

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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