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Establishing Consensus in Knowledge Base Creation of Medicinal Plants of African Traditional Medicine

by Awoniran O.M., Soriyan H.A., Elujoba A.A.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 4
Year of Publication: 2021
Authors: Awoniran O.M., Soriyan H.A., Elujoba A.A.
10.5120/ijca2021921323

Awoniran O.M., Soriyan H.A., Elujoba A.A. . Establishing Consensus in Knowledge Base Creation of Medicinal Plants of African Traditional Medicine. International Journal of Computer Applications. 183, 4 ( May 2021), 6-12. DOI=10.5120/ijca2021921323

@article{ 10.5120/ijca2021921323,
author = { Awoniran O.M., Soriyan H.A., Elujoba A.A. },
title = { Establishing Consensus in Knowledge Base Creation of Medicinal Plants of African Traditional Medicine },
journal = { International Journal of Computer Applications },
issue_date = { May 2021 },
volume = { 183 },
number = { 4 },
month = { May },
year = { 2021 },
issn = { 0975-8887 },
pages = { 6-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number4/31914-2021921323/ },
doi = { 10.5120/ijca2021921323 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:50.618652+05:30
%A Awoniran O.M.
%A Soriyan H.A.
%A Elujoba A.A.
%T Establishing Consensus in Knowledge Base Creation of Medicinal Plants of African Traditional Medicine
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 4
%P 6-12
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research work creates a holistic knowledge base of medicinal plants in African traditional medicine practice. The methodology employed in the research work involves three stages of the Delphi technique conducted for nine (9) experts in the ATM practice. Knowledge collation and elimination were carried out after each stage of the knowledge elicitation process and the level of agreement in the elicited knowledge was measured using the Fleiss’ kappa agreement analysis (k). Results from the work show a progression in the agreements on the medicinal plants and herbs that are useful for the treatment and/or management of some ailments. At the final stage of the interview, a perfect agreement was achieved. In conclusion, the use of the Delphi technique as a knowledge elicitation tool aided a perfect agreement in the creation of a knowledge base of medicinal plants of African traditional medicine practice.

References
  1. Beck, H., Dao-Tran, M., and Eiter, T. (2018). LARS: A Logic-based Framework for Analytic Reasoning over Streams. Artificial Intelligence, 261, pp. 16-70.
  2. Sharples, S. Shadbolt, N., and Smart, P. R. (2015) Knowledge Elicitation: Methods, Tools, and Techniques. In, Wilson, John R and Sharples, Sarah (eds.). Evaluation of Human Work. Boca Raton, Florida, USA. CRC Press, pp. 163-200.
  3. Gavrilova, T. and Andreeva, T. (2012). Knowledge Elicitation Techniques in a Knowledge Management Context. Journal of Knowledge Management, 16(4), pp. 523-537, https://doi.org/10.1108/13673271211246112.
  4. Wellsandt, S., Hribernik, K. and Thoben, K. (2014). Qualitative Comparison of Requirements Elicitation Techniques that are used to collect Feedback Information about Product Use. In: Proceedings of 24th CIRP Design Conference, pp. 212–217.
  5. Rusu, O., Halcu, I., Grigoriu, O., Neculoiu, G., Sandulescu, V., Marinescu, M and Marinescu, V. (2013). Converting Unstructured and Semi-Structured Data into Knowledge. Proceedings - RoEduNet IEEE International Conference, pp. 1-4. DOI: 10.1109/RoEduNet.2013.6511736.
  6. Scheurwegs, E., Luyckx, K., Luyten, L., Daelemans, W., and Van den Bulcke, T. (2016). Data Integration of Structured and Unstructured Sources for assigning Clinical Codes to Patient Stays. Journal of the American Medical Informatics Association: JAMIA. 23(1), pp. 11–19. DOI:10.1093/jamia/ocv115
  7. Venkatavara P. D., Madhusudanan, S. and Jaganathan, S. (2015). uCLUST-A New algorithm for Clustering Unstructured Data. ARPN Journal of Engineering and Applied Sciences. 10, pp. 2108-2117.
  8. Gharehchopogh, F. S. and Khalifehlou, Z. A. (2011). Analysis and evaluation of unstructured data: Text mining versus natural language processing. 5th International Conference on Application of Information and Communication Technologies 2011, AICT 2011, pp. 1 - 4. DOI: 10.1109/ICAICT.2011.6111017.
  9. Agbor, A. and Naidoo, S. (2016). A Review of the role of African Traditional Medicine in the Management of Oral Diseases. African Journal of Traditional, Complementary and Alternative Medicines. 13, pp. 133 - 141. DOI: 10.4314/ajtcam.v13i2.16.
  10. McMillan, S. S., King, M., and Tully, M. P. (2016). How to use the Nominal Group and Delphi Techniques. International Journal of Clinical Pharmacy, 38(3), pp. 655–662. DOI:10.1007/s11096-016-0257-x.
  11. Habibi A., Sarafrazi A., Izadyar S. (2014). Delphi Technique Theoretical Framework in Qualitative Research. Int J Eng Sci. 2014, 3(4), pp. 8-13.
  12. Eddy, Matthew Daniel (2013). The Shape of Knowledge: Children and the Visual Culture of Literacy and Numeracy. Science in Context. 26(2), pp. 215–245. DOI:10.1017/s0269889713000045.
  13. Audi R. (2010). Epistemology: A Contemporary Introduction to the Theory of Knowledge. 3rd Edition, Routledge, New York. ISBN-13: 978-0415879231.
  14. Girardi D., Kueng J., Holzinger A. (2015). A Domain-Expert Centered Process Model for Knowledge Discovery in Medical Research: Putting the Expert-in-the-Loop. In: Guo Y., Friston K., Aldo F., Hill S., Peng H. (eds) Brain Informatics and Health. BIH 2015. Lecture Notes in Computer Science, 9250. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-319-23344-4_38. Assessed on 17th October 2019.
  15. Shadbolt, N. R., and Smart, P. R. (2015). Knowledge Elicitation. In J. R. Wilson & S. Sharples (Eds.), Evaluation of Human Work (4th ed.). CRC Press, Boca Raton, Florida, USA. http://www.amazon.co.uk/Evaluation-Human-Work-FourthWilson/dp/1466559616/.
  16. O’Hagan, A. (2012). Probabilistic Uncertainty Specification: Overview, Elaboration Techniques and their Application to a Mechanistic Model of Carbon Flux. Environmental Modelling and Software - ENVSOFT. 36. DOI:10.1016/j.envsoft.2011.03.003.
  17. Kleiter, G. D. (2018). Imprecise Uncertain Reasoning: A Distributional Approach. Frontiers in Psychology, 9, 2051 -2070.
  18. O’Hagan, A. (2019). Expert Knowledge Elicitation: Subjective but Scientific. The American Statistician, 73(sup1), pp. 69-81, DOI: 10.1080/00031305.2018. 1518265.
  19. Aniba, M. R., Siguenza, S., Friedrich, A., Plewniak, F., Poch, O., Marchler-Bauer, A., and Thompson, J. D. (2009). Knowledge-Based Expert Systems and a Proof-of-Concept Case Study for Multiple Sequence Alignment Construction and Analysis. Briefings in Bioinformatics, 10(1), pp. 11–23. DOI:10.1093/bib/ bbn045.
  20. Papautsky, E. L., Crandall, B., Grome, A., and Greenberg, J. M. (2015). A Case Study of Source Triangulation: Using Artefacts as Knowledge Elicitation Tools in Healthcare Space Design. Journal of Cognitive Engineering and Decision Making. 9(4), pp. 347–358. DOI: https://doi.org/10.1177/ 1555343415613720.
  21. Raghav, P. R., Kumar, D., and Bhardwaj, P. (2016). Experience of Delphi Technique in the Process of Establishing Consensus on Core Competencies. International Journal of Applied & Basic Medical Research. 6(3), pp. 191–194. DOI:10.4103/2229-516X.186966
  22. Bentley M., Kerr R. and Powell S. (2016). The Use of a Modified Delphi Technique to Inform the Development of Best Practice in Inter-Professional Training for Collaborative Primary Healthcare. Journal of Research in Inter-Professional Practice and Education. Vol. 6. Assessed on 10th September 2018. DOI: http://dx.doi.org/10.22230/jripe.2016 v6n1a 232.
  23. Awoniran, O. M., Soriyan, H. A. and Elujoba, A. A. (2015). A Framework for Knowledge Capture in African Traditional Treatment of Malaria. Nigerian Journal of Natural Products and Medicine. Vol. 19, Pp 126-133. DOI: http://dx.doi.org/10.4314/njnpm .v19i1.15.
  24. Akinyemi, O. V. and Olatokun W. M. (2015). Factors Influencing Indigenous Knowledge Data Elicitation from Herbal Medicinal Practitioners in South-Western Nigeria. African Journal of Sustainable Development. 5(1), pp 97-121. ISSN: 2315-6317.
  25. Elujoba, A. A., Odeleye, O. M. and Ogunyemi C. M. (2005). Traditional Medicine Development for Medical and Dental Primary Health Care Delivery System in Africa. African Journal of Traditional, Complementary and Alternative Medicines, 2(1), pp. 46-61 ISSN: 0189-6016.
  26. World Health Organization (2000). General Guidelines for Methodologies on Research and Evaluation of Traditional Medicine. WHO/EDM/ TRM/2000.1, pp. 1-74.
  27. Paulo P. M., Kofi B. and Ossy M. K. (2010). Clinical Practices of African Traditional Medicine. African Health Monitor, Issue 13, World Health Organization Africa. https://www.aho.afro.who.int/en/ahm/issue/13/reports/clinical-practices-african-traditional-medicine. Accessed on 10th May 2017.
  28. Gwet, K. L. (2008). Computing Inter-Rater Reliability and its Variance in the Presence of High Agreement. British Journal of Mathematical and Statistical Psychology, 61, pp 29–48.
  29. Marozzi, Marco (2014). Testing for Concordance between Several Criteria. Journal of Statistical Computation and Simulation. 84(9), pp. 1843–1850. DOI:10.1080/00949655.2013.766189.
Index Terms

Computer Science
Information Sciences

Keywords

Knowledge-Based Systems Knowledge Elicitation Delphi Knowledge Elicitation Technique African Traditional Medicine Practice.

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