A Framework for Evaluating Agricultural Ontologies
Anat Goldstein, Lior Fink, Gilad Ravid

TL;DR
This paper introduces a structured framework for evaluating agricultural ontologies, addressing the lack of explicit evaluation procedures and enhancing their reliability and sharing in semantic applications.
Contribution
It presents a novel evaluation framework tailored for agricultural ontologies, guiding the selection of appropriate assessment methods based on ontology purpose.
Findings
Provides a systematic evaluation framework for agricultural ontologies.
Supports matching evaluation methods to ontology purposes.
Aims to improve ontology reliability and sharing in semantic systems.
Abstract
An ontology is a formal representation of domain knowledge, which can be interpreted by machines. In recent years, ontologies have become a major tool for domain knowledge representation and a core component of many knowledge management systems, decision support systems and other intelligent systems, inter alia, in the context of agriculture. A review of the existing literature on agricultural ontologies, however, reveals that most of the studies, which propose agricultural ontologies, are lacking an explicit evaluation procedure. This is undesired because without well-structured evaluation processes, it is difficult to consider the value of ontologies to research and practice. Moreover, it is difficult to rely on such ontologies and share them on the Semantic Web or between semantic aware applications. With the growing number of ontology-based agricultural systems and the increasing…
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