Towards quantitative measures in applied ontology

TL;DR

This paper advocates for domain-specific, ontology-based quantitative evaluation methods to objectively assess research outcomes in applied ontology, integrating diverse disciplinary insights.

Contribution

It introduces a framework for quantitative, domain-specific evaluation of applied ontology research results, emphasizing the importance of task-based assessment.

Findings

Proposes domain-specific evaluation criteria

Highlights the need for quantitative measures

Discusses integration of interdisciplinary methods

Abstract

Applied ontology is a relatively new field which aims to apply theories and methods from diverse disciplines such as philosophy, cognitive science, linguistics and formal logics to perform or improve domain-specific tasks. To support the development of effective research methodologies for applied ontology, we critically discuss the question how its research results should be evaluated. We propose that results in applied ontology must be evaluated within their domain of application, based on some ontology-based task within the domain, and discuss quantitative measures which would facilitate the objective evaluation and comparison of research results in applied ontology.