Ontology Data Modeling of Indonesian Medicinal Plants and Efficacy

Abstract

People use medicinal plants for as early prevention and treating disease. Medicinal plants must be careful not to cause side effects, so knowledge is needed. Medicinal plant knowledge is stored using an ontology data model. In some ontology studies, there are still shortcomings in managing information, namely the absence of a relationship between scientific terms related to medicinal plants and phrases already known to the public. Hence, it is necessary to have this relationship. In other studies, there is no information related to disease protein, so this research also develops ontologies to enrich knowledge about medicinal plants and their efficacy. Based on the results, the developed ontology test can build a relationship between scientific terms of therapeutic pants and phrases that are known to the public. The public also knows which proteins affect a disease, so public knowledge about medicinal plants is getting wider.

Ontologies of Herbal Medicine: A thematic review analysis from 2011-2022

“…Since a medicinal plant might have various pharmacological effects, analyzing its chemical makeup is critical for determining its biological activity. To use medicinal plants with greater caution, a greater wealth of information on potential side effects and contradictions is required (Afifa et al, 2022).…”

“…Three researchers, Lim-cheng et al(2014), Supiah et al(2012) and Devine et al(2019), employ an approach based on the relationship process between symptoms and diseases to construct an ontology of herbal medicine. Chandra & Natalia (2019), Gunawan & Mustofa (2017) and Afifa et al (2022) have directed their attention towards the examination of toxicity and adverse effects. Meanwhile, Jairo Cambraia Junior (2017) and Silalahi et al(2015) proposed that modern medical knowledge frameworks must be aligned with traditional knowledge structures.…”