Suganya Selvaraj
ABSTRACT
Ontology is the most efficient way of representing knowledge and influence relationship about diseases, symptoms, medications, and diagnosis in the traditional medical field. Since integrating traditional medicine ontologies with modern medical ontologies can benefit to the treatment process for effectively using traditional medicines, there is a need for integration and visualization of traditional medicine ontology. Furthermore, an effective ontology visualization is useful to design, manage, and browse the traditional medicine ontology successfully. In this paper, we construct the traditional Korean medicine (TKM) ontology using TKM domain knowledge with a few imported classes from modern medicine ontology and traditional Chinese medicine ontology (TCM) and also visualize the TKM using Web-based Visualization of Ontologies (WebVowl).
- Selvaraj, S., & Choi, E. A Study on Traditional Medicine Ontology. ICSIM 2019.Google Scholar
- Alkhatib, B., & Briman, D. (2018). Building a Herbal Medicine Ontology Aligned with Symptoms and Diseases Ontologies. Journal of Digital Information Management, 16(3), 114--126, 2018.Google Scholar
- Dudáš, M., Lohmann, S., Svátek, V., & Pavlov, D. (2018). Ontology visualization methods and tools: A survey of the state of the art. The Knowledge Engineering Review, 33, E10. doi:10.1017/S0269888918000073.Google Scholar
- Saripalle R. Current status of ontologies in Biomedical and Clinical informatics. International Journal of Science and Information (2010).Google Scholar
- Abedini, F., Mahmoudi. F, & A. Jadidinejad. From text to knowledge: Semantic entity extraction using yago ontology. Int. J. Mach. Learn. Comput., 1(2), 113--119, 2011.Google ScholarCross Ref
- Gao, Y., & Gao, W. Ontology similarity measure and ontology mapping via learning optimization similarity function. Int. J. Mach. Learn. Comput. 2(2), 107--112, 2012.Google ScholarCross Ref
- Jang, H., et al., Ontology for medicinal materials based on traditional Korean medicine. Bioinformatics. 26(18): p. 2359--2360 (2010).Google ScholarDigital Library
- Liu Q, Wang J, Zhu Y, He Y. Ontology-based systematic representation and analysis of traditional Chinese drugs against rheumatism. BMC Systems Biol. 2017;11(Suppl 7): S10.Google Scholar
- Sang-Kyun Kim, S.N., Dong-Hun Park, Yong-Taek Oh, Hyunchul Jang, A Medical Treatment System based on Traditional Korean Medicine. Ontology Information Science and Industrial Applications. 4(ASTL) (2012).Google Scholar
- PROTÉGÉ, https://protege.stanford.edu/.Google Scholar
- OntoFox, http://ontofox.hegroup.org/.Google Scholar
- WebVowl, http://www.visualdataweb.de/webvowl.Google Scholar
- OAE, http://purl.obolibrary.org/obo/oae.owl.Google Scholar
- TCMDPO, https://github.com/TCMOntology/TCMDPO.Google Scholar
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