Version 1
: Received: 1 November 2019 / Approved: 3 November 2019 / Online: 3 November 2019 (17:07:50 CET)
How to cite:
Naghizadeh, A.; Hamzeheian, D.; Akbari, S.; Rezaeizadeh, H.; Alizadeh Vaghasloo, M.; Mirzaie, M.; Karimi, M.; Jafari, M. Revisiting Temperaments with a Fine-Tuned Categorization Using Iranian Traditional Medicine General Ontology. Preprints2019, 2019110024. https://doi.org/10.20944/preprints201911.0024.v1
Naghizadeh, A.; Hamzeheian, D.; Akbari, S.; Rezaeizadeh, H.; Alizadeh Vaghasloo, M.; Mirzaie, M.; Karimi, M.; Jafari, M. Revisiting Temperaments with a Fine-Tuned Categorization Using Iranian Traditional Medicine General Ontology. Preprints 2019, 2019110024. https://doi.org/10.20944/preprints201911.0024.v1
Naghizadeh, A.; Hamzeheian, D.; Akbari, S.; Rezaeizadeh, H.; Alizadeh Vaghasloo, M.; Mirzaie, M.; Karimi, M.; Jafari, M. Revisiting Temperaments with a Fine-Tuned Categorization Using Iranian Traditional Medicine General Ontology. Preprints2019, 2019110024. https://doi.org/10.20944/preprints201911.0024.v1
APA Style
Naghizadeh, A., Hamzeheian, D., Akbari, S., Rezaeizadeh, H., Alizadeh Vaghasloo, M., Mirzaie, M., Karimi, M., & Jafari, M. (2019). Revisiting Temperaments with a Fine-Tuned Categorization Using Iranian Traditional Medicine General Ontology. Preprints. https://doi.org/10.20944/preprints201911.0024.v1
Chicago/Turabian Style
Naghizadeh, A., Mehrdad Karimi and Mohieddin Jafari. 2019 "Revisiting Temperaments with a Fine-Tuned Categorization Using Iranian Traditional Medicine General Ontology" Preprints. https://doi.org/10.20944/preprints201911.0024.v1
Abstract
Background: Iranian traditional medicine is a holistic school of medicine with a long prolific history. It describes numerous concepts and the relationships between them. However, no unified terminology has been proposed for the concepts of this medicine up to the present time. Considering the extensive use of concepts in the numerous textbooks written by the scholars over centuries, comprehending the totality of the terminology is obviously a very challenging task. To resolve this issue and overcome the obstacles, and code the concepts in a reusable manner, constructing an ontology of the concepts of Iranian traditional medicine seems a necessity.Methods:Makhzan al-Advieh, an encyclopedia of materia medica compiled by Mohammad Hossein Aghili Khorasani, was selected as the resource to create an ontology of Mizaj. The steps followed to accomplish this task included (1) compiling the list of classes for Mizaj; (2) arranging the classes in taxonomy; (3) determining object properties and their cardinalities; (4) specifying annotation properties including codes, labels, synonyms, and definitions for each concept; (5) reviewing the fields pertaining to Mizaj of all monographs in Makhzan al-Advieh. The ontology was created using Protégé with adherence to the principles of ontology development provided by the Open Biological and Biomedical Ontology (OBO) foundry. Results: Mizaj ontology was constructed with a final inclusion of 105 classes, three object properties, and 1078 axioms in the Iranian Traditional Medicine General Ontology database, IrGO, freely available at http://jafarilab.com/irgo/. An indented tree view and an interactive graph view using WebVOWL were used to visualize the ontology. All classes were linked to their instances in the UNaProd database to create a knowledge-base of Mizaj. Conclusion: We constructed an ontology-based knowledge base of ITM concepts of Mizaj in the domain of materia medica to help offer a shared and common understanding of this concept, enable reuse of the knowledge, and make the assumptions explicit. Extending IrGO will bridge the gap between traditional and conventional schools of medicine and help guide future research on new treatment options.
Keywords
Iranian traditional medicine; Persian medicine; ontology; knowledge-base; Mizaj; temperament; new drug discovery
Subject
Computer Science and Mathematics, Information Systems
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
