Ontologies of Herbal Medicine: A thematic review analysis from 2011-2022
DOI:
https://doi.org/10.21834/e-bpj.v9iSI18.5469Keywords:
Ontology, Herbal Medicine, Ontology Development, Ontology EvaluationAbstract
This study examines various approaches for ontology construction and evaluation in medicinal plant ontology, focusing on the challenges associated with this domain. Thirty review articles on three databases revealed five alternative approaches for ontology generation in herbal medicine: well-structured methodology, customized methodology, semiautomatic approach, socio-technical approach, domain expert techniques, and top-level approach. However, 68% of the research did not include ontology evaluation. Ontology quality was often assessed using competency questions, expert opinion, and automated error detection. The study provides ontology developers with a better understanding of established methodologies for developing and evaluating standard ontologies in this area and identifies gaps in existing research for future studies.
References
Afifa, R. M., Kusuma, W. A. & Annisa, A. (2022). Ontology Data Modeling of Indonesian Medicinal Plants and Efficacy. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 6(2), 218–232. https://doi.org/10.29407/intensif.v6i2.17987 DOI: https://doi.org/10.29407/intensif.v6i2.17987
Alkhatib, B. & Briman, D. (2018). Building a Herbal Medicine Ontology Aligned with Symptoms and Diseases Ontologies. Journal of Digital Information Management, 16(3), 114. https://doi.org/10.6025/jdim/2018/16/3/114-126 DOI: https://doi.org/10.6025/jdim/2018/16/3/114-126
Altea, P. I. S., Dagdag, D. E. E., Embestro, E. J. G., Ong, N. P. S. & Lim-cheng, N. R. (2020). An Ontology of Philippine Natural Products and the API to Retrieve Data from the Ontology. DLSU Research Congress, De La Salle University, Manila, Philippines.
Ayimdji, A., Koussoubé, S., Fotso, L. P., Konfé, B. O., Armel, A., Souleymane, K., Laure P, F., Balira O, K., Ayimdji, A., Koussoubé, S., Fotso, L. P. & Konfé, B. O. (2011). Towards a “Deep” Ontology for African Traditional Medicine. Intelligent Information Management, 2011(06), 244–251. https://doi.org/10.4236/iim.2011.36030 DOI: https://doi.org/10.4236/iim.2011.36030
Baker, C. J. O. & Cheung, K. H. (2007). Semantic web: Revolutionizing knowledge discovery in the life sciences. Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences, 9780387484(January), 1–445. https://doi.org/10.1007/978-0-387-48438-9
Berners-Lee, T., Hendler, J. & Lassila, O. (2001). The Semantic Web: A New Form of Web Content That is Meaningful to Computers Will Unleash a Revolution of New Possibilities. In ScientificAmerican.com.
Bhargava, K. & Mukherjee, D. (2015). Prototype for Automated Ontology Construction for Semantic Search in Health Care Management using Herbal Plants. International Journal for Innovative Research in Science & Technology, 2(06), 7–12.
Chandra, D. & Natalia, F. (2019). Ontology system design for herbal plants. International Journal of Latest Trends in Engineering and Technology, 3, 13–19. https://doi.org/http://dx.doi.org/10.21172/1.103.03
Clarke, V. & Braun, V. (2012). Thematic Coding and Analysis. The SAGE Encyclopedia of Qualitative Research Methods. https://doi.org/10.4135/9781412963909.n451
Devine, S., Kolog, E., Sutinen, E. & Sääksjärvi, I. (2019). Knowledge-based Service for African Traditional Herbal Medicine: A Hybrid Approach. Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 45–55. https://doi.org/10.5220/0007946400450055 DOI: https://doi.org/10.5220/0007946400450055
Fernández, Gomez & Juristo. (1997). METHONTOLOGY: from ontological art towards ontological engineering. Engineering Workshop on Ontological Engineering (AAAI97).
Gayathri, M. & Jagadeesh Kannan, R. (2018). Ontology Based Indian Medical System. Materials Today: Proceedings, 5(1), 1974–1979. DOI: https://doi.org/10.1016/j.matpr.2017.11.301
https://doi.org/10.1016/j.matpr.2017.11.301
Gunawan, R. & Mustofa, K. (2017). Finding Knowledge from Indonesian Traditional Medicine using Semantic Web Rule Language. International Journal of Electrical & Computer Engineering (2088-8708), 7(6). DOI: https://doi.org/10.11591/ijece.v7i6.pp3674-3682
Ibrahim, Z., Izhar, T. A. T., Shahibi, M. S., Hariro, A. Z., Kamarulzaman, M. R. S., Noor, M. M. & Noah, S. A. M. (2018). Semantic Relationships Rules Identification for the Construction of Medicinal Herbs Domain Ontology. International Journal of Academic Research in Business and Social Sciences, 7(12), 979–990. https://doi.org/10.6007/IJARBSS/v7-i12/3728 DOI: https://doi.org/10.6007/IJARBSS/v7-i12/3728
Jairo Cambraia Junior, V. V. V. (2017). KNOWLEDGE FRAMEWORK OF MEDICINAL PLANTS: EPISTEMOLOGY AND ONTOLOGY. VIII Simpósio Nacional de Geografia Da Saúde V Dourados , Brasil , 27 l de Geografia Da Saúde, 1.
Lantow, B. (2016). Ontometrics: Putting metrics into use for ontology evaluation. IC3K 2016 - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2(Ic3k), 186–191. https://doi.org/10.5220/0006084601860191 DOI: https://doi.org/10.5220/0006084601860191
Lim-cheng, N. R., Co, J. R. C., Gaudiel, C. H. S., Umadac, D. F., Victor, N. L., Richmond, C., Co, J. R. C., Gaudiel, C. H. S., Umadac, D. F. & Victor, N. L. (2014). Semiautomatic population of ontology of Philippine medicinal plants from online text. DLSU Research Congress, De La Salle University, Manila, Philippines, 6–8.
Mustaffa, S., Zarina, I. & Chee, K. L. (2012). Herbal Medicine Knowledge Base System. 13. https://www.academia.edu/2169032/Herbal_Medicine_Knowledge_Base_System
Naghizadeh, A., Salamat, M., Hamzeian, D., Akbari, S., Rezaeizadeh, H., Vaghasloo, M. A., Karbalaei, R., Mirzaie, M., Karimi, M. & Jafari, M. (2021). IrGO: Iranian traditional medicine General Ontology and knowledge base. Journal of Biomedical Semantics, 12(1), 9. https://doi.org/10.1186/s13326-021-00237-1 DOI: https://doi.org/10.1186/s13326-021-00237-1
Noy, N. F. & McGuinness, D. L. (2001). Ontology Development 101: A Guide to Creating Your First Ontology. In Stanford Knowledge Systems Laboratory. https://doi.org/10.1016/j.artmed.2004.01.014
Oladosu, J. B., Adigun, M. O. & Mbarika, V. (2012). Towards a Pharmaceutical Ontology for African Traditional Herbs. Proceedings of the World Congress on Engineering and Computer Science, I.
Promkot, A., Arch-int, S. & Arch-int, N. (2019). The Personalized Traditional Medicine Recommendation System Using Ontology and Rule Inference Approach. 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), 96–104. https://doi.org/10.1109/CCOMS.2019.8821675 DOI: https://doi.org/10.1109/CCOMS.2019.8821675
Raad, J., Cruz, C., Raad, J., Cruz, C., Survey, A., Evaluation, O., Proceedings, M., Raad, J. & Cruz, C. (2018). A Survey on Ontology Evaluation Methods To cite this version : HAL Id : hal-01274199 A Survey on Ontology Evaluation Methods.
Raja Mohan, A. & Arumugam, G. (2012). Developing Indian Medicinal Plant Ontology Using OWL and SWRL. In International Conference on Data Engineering and Management (pp. 131–138). https://doi.org/10.1007/978-3-642-27872-3_20 DOI: https://doi.org/10.1007/978-3-642-27872-3_20
Ren, Y., Parvizi, A., Mellish, C., Pan, J. Z., Van Deemter, K. & Stevens, R. (2014). Towards competency question-driven ontology authoring. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8465 LNCS, 752–767. https://doi.org/10.1007/978-3-319-07443-6_50 DOI: https://doi.org/10.1007/978-3-319-07443-6_50
Sahri, Z., Abd Aziz, M. E. S., Ramli, N., Canda, R., Zulazeze, S., Muhd, E. S. A. A., Nazirah, R., Canda, R., Eizan, M., Abd, S., Ramli, N. & Canda, R. (2016). The Design and Implementation of Malaysian Indigenous Herbs Knowledge Management System based on Ontology Model.(KMICe) 2016, August, 439–445. https://ssl.uic.edu.hk/kcms/detail/,DanaInfo=kns.cnki.net+detail.aspx?f
Shojaee-Mend, H., Ayatollahi, H. & Abdolahadi, A. (2019). Development and Evaluation of Ontologies in Traditional Medicine: A Review Study. In Methods of information in medicine (Vol. 58, Issue 6, pp. 194–204). NLM (Medline). https://doi.org/10.1055/s-0040-1702236 DOI: https://doi.org/10.1055/s-0040-1702236
Silalahi, M., Cahyani, D. E., Sensuse, D. I. & Budi, I. (2015). Developing indonesian medicinal plant ontology using socio-technical approach. 2015 International Conference on Computer, Communications, and Control Technology (I4CT), I4ct, 39–43. https://doi.org/10.1109/I4CT.2015.7219533 DOI: https://doi.org/10.1109/I4CT.2015.7219533
Sulaiman, M. S., Nordin, S., Jamil, N. & Halin, A. A. (2014). Multi-Modality Ontology for Herbal Medicinal Plant Semantic Based Image Retrieval. In F. Baharom, Y. Yusof, S. A. M. Yusof, N. Puteh & S. N. A. Salam (Eds.), PROCEEDING OF KNOWLEDGE MANAGEMENT INTERNATIONAL CONFERENCE (KMICE) 2014, VOLS 1 AND 2 (Issue Knowledge Management International Conference (KMICe2014), pp. 208–213).
Supiah, M., Ishak, R. & Lukose, D. (2012). Ontology Model for Herbal Medicine Knowledge Repository. In D. Lukose, A. R. Ahmad & A. Suliman (Eds.), KNOWLEDGE TECHNOLOGY (Vol. 295, Issue 3rd Conference of Knowledge Technology Week (KTW 2011), pp. 293–302). https://doi.org/10.1007/978-3-642-32826-8_30 DOI: https://doi.org/10.1007/978-3-642-32826-8_30
Surendro, K., Yodihartomo, F. & Yulianti, L. P. (2020). Evaluation of Indonesian Traditional Herbal Medicine Ontology Quality. International Journal on Electrical Engineering and Informatics, 12(1), 72–81. https://doi.org/10.15676/ijeei.2020.12.1.6 DOI: https://doi.org/10.15676/ijeei.2020.12.1.6
Tahar, K., Xu, J. & Herre, H. (2017). Expert2OWL: A Methodology for Pattern-Based Ontology Development. GMDS, 165–169.
Thomford, N. E., Senthebane, D. A., Rowe, A., Munro, D., Seele, P., Maroyi, A. & Dzobo, K. (2018). Natural products for drug discovery in the 21st century: Innovations for novel drug discovery. International Journal of Molecular Sciences, 19(6). https://doi.org/10.3390/ijms19061578 DOI: https://doi.org/10.3390/ijms19061578
Tungkwampian, W., Theerarungchaisri, A. & Buranarach, M. (2015). Development of Thai herbal medicine knowledge base using ontology technique. Thai Journal of Pharmaceutical Sciences, 39(3), 102–109. DOI: https://doi.org/10.56808/3027-7922.1952
Vadivu, G. & Hopper, S. W. (2012). Ontology Mapping of Indian Medicinal Plants with Standardized Medical Terms. Journal of Computer Science, 8(9), 1576–1584. https://doi.org/10.3844/jcssp.2012.1576.1584 DOI: https://doi.org/10.3844/jcssp.2012.1576.1584
Waheed, T., Martinez-Enriquez, A. M., Amjad, S. & Muhammad, A. (2013). Development of Upper Domain Ontologies for Knowledge Preservation of Unani Medicines. Research in Computing Science, 68(1), 115–125. https://doi.org/10.13053/rcs-68-1-10 DOI: https://doi.org/10.13053/rcs-68-1-10
Wardani, D. W., Yustianti, S. H., Salamah, U. & Astirin, O. P. (2014). An Ontology of Indonesian Ethnomedicine. International Conference on Information, Communication Technology and System, 47–52.
WHO. (2013). Review of World Pharmacopoeias. March, 1–20. http://www.who.int/medicines/areas/quality_safety/quality_assurance/resources/InternationalMeetingWorldPharmacopoeias_QAS13-512Rev1_25032013.pdf
Yulianti, L. P. & Surendro, K. (2018). Ontology Model for Indigenous Knowledge. 2018 International Conference on Information Technology Systems and Innovation (ICITSI), 231–236. https://doi.org/10.1109/ICITSI.2018.8695925 DOI: https://doi.org/10.1109/ICITSI.2018.8695925
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