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

doi:10.1109/HSI.2010.5514565

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings
Pages	217-222
Number of pages	6
DOIs	https://doi.org/10.1109/HSI.2010.5514565
Publication status	Published - 2010
Event	3rd International Conference on Human System Interaction, HSI'2010 - Rzeszow Duration: 2010 May 13 → 2010 May 15

Other

Other	3rd International Conference on Human System Interaction, HSI'2010
City	Rzeszow
Period	10/5/13 → 10/5/15

Keywords

Inference
Knowledge representation
Ontology
Thai herb

ASJC Scopus subject areas

Human-Computer Interaction
Software

Access to Document

10.1109/HSI.2010.5514565

Cite this

Kato, T, Maneerat, N, Varakulsiripunth, R, Izumi, S, Takahashi, H, Suganuma, T, Takahashi, K, Kato, Y & Shiratori, N 2010, Provision of Thai herbal recommendation based on an ontology. in 3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings., 5514565, pp. 217-222, 3rd International Conference on Human System Interaction, HSI'2010, Rzeszow, 10/5/13. https://doi.org/10.1109/HSI.2010.5514565

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title = "Provision of Thai herbal recommendation based on an ontology",

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.",

keywords = "Inference, Knowledge representation, Ontology, Thai herb",

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

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doi = "10.1109/HSI.2010.5514565",

language = "English",

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AU - Kato, Takumi

AU - Maneerat, Noppadol

AU - Varakulsiripunth, Ruttikorn

AU - Izumi, Satoru

AU - Takahashi, Hideyuki

AU - Suganuma, Takuo

AU - Takahashi, Kaoru

AU - Kato, Yasushi

AU - Shiratori, Norio

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Inference

KW - Knowledge representation

KW - Ontology

KW - Thai herb

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BT - 3rd International Conference on Human System Interaction, HSI'2010 - Conference Proceedings

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ER -

Provision of Thai herbal recommendation based on an ontology

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Keywords

ASJC Scopus subject areas

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