A dynamic development of a herbal ontology: enhancing the safe use of medicinal plants

Purpose The global rise of alternative medicine, particularly the use of medicinal plants, offers promising health benefits but also poses significant risks due to limited knowledge, species misidentification and improper preparation or administration. Design/methodology/approach This paper introduces HerbOnto, a Herbal Ontology designed for the dynamic development of medicinal plant knowledge base – meaning it continuously collects, updates and categorizes data through advanced data collection techniques and classification algorithms. Findings HerbOnto aims to reduce risks and enhance safety by providing an evolving, structured and accessible knowledge base that supports the effective and responsible use of medicinal plants worldwide. Originality/value The dynamic and predictive approach to ontology development for medicinal plants, which goes beyond existing static herbal databases or taxonomies.

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Publication Details

Journal
Data Technologies and Applications
Published
2025-11-22
DOI
https://doi.org/10.1108/dta-06-2025-0497
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

A dynamic development of a herbal ontology: enhancing the safe use of medicinal plants

Data Technologies and Applications
Biomedical Text Mining and Ontologies
article

A dynamic development of a herbal ontology: enhancing the safe use of medicinal plants

article en

Abstract

Purpose The global rise of alternative medicine, particularly the use of medicinal plants, offers promising health benefits but also poses significant risks due to limited knowledge, species misidentification and improper preparation or administration. Design/methodology/approach This paper introduces HerbOnto, a Herbal Ontology designed for the dynamic development of medicinal plant knowledge base – meaning it continuously collects, updates and categorizes data through advanced data collection techniques and classification algorithms. Findings HerbOnto aims to reduce risks and enhance safety by providing an evolving, structured and accessible knowledge base that supports the effective and responsible use of medicinal plants worldwide. Originality/value The dynamic and predictive approach to ontology development for medicinal plants, which goes beyond existing static herbal databases or taxonomies.

Data Technologies and ApplicationsVol. 60(1)
École Normale Supérieure de Constantine (DZ), Université Constantine 2 (DZ)
Openalex Percentile: Top 42%
Biomedical Text Mining and Ontologies
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