A Review of the Use of Ontology in the Organization of Indigenous Agricultural Knowledge

Document Type : Review Article

Authors

1 Ph.D. in Knowledge and Information Science, Ferdowsi University, Mashhad, Iran

2 Professor of Knowledge and Information Science Group, Ferdowsi University, Mashhad, Iran

3 Professor of Computer Engineering Group, Ferdowsi University, Mashhad, Iran

10.30484/nastinfo.2024.3443.2224

Abstract

Purpose: Organizing Indigenous knowledge in libraries, archives, and museums with conventional methods of organization, cataloging, and classification is not possible due to the lack of terms and vocabulary of Indigenous knowledge and the lack of written sources of this knowledge. To enter indigenous knowledge that is the result of centuries of local people's experience, it seems appropriate to use ontology in the semantic web. This article aims to discuss and investigate the necessity of using ontologies to store and retrieve Indigenous knowledge of agriculture by studying existing ontologies in the field of agriculture and Indigenous knowledge.
Method: This study employed an evidence-based systematic review methodology. The literature search was conducted using a defined set of keywords in the Google Scholar database without restrictions on publication date. To enhance subject differentiation, keywords were separated and combined in pairs. The search yielded 12 articles for the term "ontology and indigenous knowledge," 83 articles for "agricultural ontology," and 143 articles for "agricultural indigenous knowledge." A total of 238 articles were retrieved from the English search using the three key terms "Agricultural Ontology," "Agricultural Indigenous Knowledge," and "Indigenous Knowledge Ontology." Six additional articles were included through manual search, and nine articles were added following a search using the Persian keywords "ontology," "knowledge organization," and "local knowledge organization." Ultimately, 37 articles were selected and reviewed based on a comprehensive evaluation of their abstracts, findings, and relevance to the research topic.
Findings: A comprehensive review of the literature revealed three prominent and widely recognized ontologies: Agricultural Ontology Services (AOS), Plant Ontology (PO), and Crop Ontology (CO). Additionally, the study indicates that countries such as Spain, China, Iran, Nigeria, Sri Lanka, Malaysia, Thailand, Japan, Indonesia, India, and Pakistan have undertaken initiatives to design and implement ontologies for indigenous agricultural knowledge. Furthermore, the analysis of retrieved articles suggests that Sri Lanka, Malaysia, and India have made significant strides in this domain.
Conclusion: While traditional methods, such as educational and promotional printed brochures, can effectively disseminate indigenous knowledge to a localized audience, disseminating this valuable knowledge globally necessitates its integration into the semantic web. This entails providing seamless access to indigenous agricultural knowledge resources on the web, enabling users to retrieve and utilize this knowledge through semantic search. Ontologies, specialized tools within the semantic web, offer an ideal solution for organizing, storing, and retrieving indigenous knowledge effectively. These ontologies categorize topics within the domain of indigenous agriculture, defining the logical relationships between them, and thereby maintaining the intricate interrelationships inherent in this knowledge system. By incorporating indigenous agricultural knowledge into the semantic web and utilizing ontologies, we can achieve global dissemination of this invaluable resource, fostering a deeper understanding and appreciation of indigenous agricultural practices and their contributions to sustainable food production and resilience.

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Main Subjects

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Advanced Materials Research, 129-131, 743-747.
https://doi.org/10.4028/www.scientific.net/AMR.129-131.743
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  • Receive Date: 18 June 2023
  • Revise Date: 08 August 2023
  • Accept Date: 24 September 2023

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