Using Multi-Linguistic Techniques for Thailand Herb and Traditional Medicine Registration Systems
Thailand has evolved many unique culture and knowledge, and the leading is the Thai traditional medicine (TTM). Recently, a number of researchers have tried to save this indigenous knowledge. However, the system to do so has still been scant. To preserve this ancient knowledge, we therefore invented and integrated multi-linguistic techniques to create the system of the collected all of recipes. This application extracted the medical recipes from antique scriptures then normalized antiquarian words, primitive grammar and antiquated measurement of them to the modern ones. Then, we applied ingredient-duplication-calculation, proportion-similarity-calculation and score-ranking to examine duplicate recipes. We collected the questionnaires from registrants and people to investigate the users’ satisfaction. The satisfactory results were found. This application assists not only registrants to validating the copyright violation in TTM registration process but also people to cure their illness that aids both Thai people and all mankind to fight for intractable diseases.
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Act B.E. 2542 (1999).
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Languageinformation Retrieval Systems. In ITC-CSCC2006, the 21st
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[1] V. Lertnattee, S. Chomya, A. Apirakaramwong, TH Search: Thai-Enable
Herbal Search Engine. In ISCIT’05. The fifth IEEE International
Symposium on Communications and Information Technologies.
IEEE,2005.
[2] V. Lertnattee, S. Chomya, T. Theeramunkong, V. Sornlertlamvanich,
Applying Collective Intelligence for Search Improvement on Thai
Herbal Information. In CIT'09, the ninth IEEE International Conference
on Computer and Information Technology. IEEE, 2009.
[3] C. Haruechaiyasak, J. Pailai, W. Viratyosin, R. Kongkachandra,
ThaiHerbMiner: A Thai Herbal Medicine Mining and Visualizing Tool.
In ACL-HLT'11, the 2011 Workshop on Biomedical Natural Language
Processing. ACL,2011.
[4] J.Yuan, B. Wei, L. Wang, W. Lu, Y. Zhuang, CMSSOF: a structured
data organization framework for scanned Chinese medicine books in
digital libraries. Journal of Zhejiang University-SCIENCE C. p.882-892.
2010.
[5] H. Chen, National Semantic infrastructure for traditional Chinese
medicine. Journal of Zhejiang University-SCIENCE C. p.311-314. 2012.
[6] S. Qiao, C. Tang, H. Jin, J. Peng, D. Davis, N. Han, KISTCM:
knowledge discovery system for traditional Chinese medicine. Applied
Intelligence, Volume 32, Number 3, June 2010, pp. 346-363(18).
[7] V. Chokevivat, A. Chuthaputti, The Role of Thai Traditional Medicine
in Health Promotion. In GCHP ’05, the 6th Global Conference on
Health Promotion (GCHP). WHO,2005.
[8] The Protection and Promotion of Thai Traditional Medicine Wisdom
Act B.E. 2542 (1999).
[9] C. Haruechaiyasak, C. Damrongrat, C. Sangkeettrakarn, S. Kongyoung,
N.Angkawattanawit, Sansarn Look!: A Platform for Developing Thai-
Languageinformation Retrieval Systems. In ITC-CSCC2006, the 21st
International Technical Conference on Circuits/Systems, Computers and
Communications. p. 85–88. 2006.
[10] N. Angkawattanawit, C. Haruechaiyasak, S. Marukatat, Thai Q-Cor:
Integrating Word Approximation and Soundex for Thai Query
Correction. In ECTI-CON’08, the fifth annual international conference
organized by Electrical Engineering/Electronics, Computer,
Telecommunications and Information Technology (ECTI) Association.
ECTI, 2008.
[11] J. Lewis, IBM Computer Usability Satisfaction Questionnaires:
Psychometric Evaluation and Instructions for Use. In International
Journal of Human-Computer Interaction v.7 n.1 p.57-78. IBM, 1995.
[12] A. Lund, Measuring Usability with the USE Questionnaire. In STC
Usability SIG Newsletter October 2001 issue Vol 8, No. 2. STC,2001.
[13] X. Zhou, S. Chen, B. Liu, R. Zhang, Y. Wang, P. Li, Y. Guo, H. Zhang,
Z. Gao, X. Yan, Development of traditional Chinese medicine clinical
data warehouse for medical knowledge discovery and decision support.
Artificial Intelligence in Medicine, Volume 48, Issues 2–3, February–
March 2010, pp. 139–152.
@article{"International Journal of Medical, Medicine and Health Sciences:65393", author = "Thanapol Wisuttikul and Choochart Haruechaiyasak and Santipong Thaiprayoon", title = "Using Multi-Linguistic Techniques for Thailand Herb and Traditional Medicine Registration Systems", abstract = "Thailand has evolved many unique culture and knowledge, and the leading is the Thai traditional medicine (TTM). Recently, a number of researchers have tried to save this indigenous knowledge. However, the system to do so has still been scant. To preserve this ancient knowledge, we therefore invented and integrated multi-linguistic techniques to create the system of the collected all of recipes. This application extracted the medical recipes from antique scriptures then normalized antiquarian words, primitive grammar and antiquated measurement of them to the modern ones. Then, we applied ingredient-duplication-calculation, proportion-similarity-calculation and score-ranking to examine duplicate recipes. We collected the questionnaires from registrants and people to investigate the users’ satisfaction. The satisfactory results were found. This application assists not only registrants to validating the copyright violation in TTM registration process but also people to cure their illness that aids both Thai people and all mankind to fight for intractable diseases.
", keywords = "Medicine Registration, Search Engine, Text Approximation, Traditional Medicine.", volume = "7", number = "10", pages = "634-5", }
