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Towards quantitative measures in applied ontology

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.

preprint2012arXivOpen access
Robert HoehndorfMichel DumontierGeorgios V. Gkoutos
Artificial IntelligenceQuantitative Methods
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Robert HoehndorfMichel DumontierGeorgios V. Gkoutos

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