Towards quantitative measures in applied ontology
Artificial Intelligence
2012-10-05 v1 Quantitative 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.
Cite
@article{arxiv.1202.3602,
title = {Towards quantitative measures in applied ontology},
author = {Robert Hoehndorf and Michel Dumontier and Georgios V. Gkoutos},
journal= {arXiv preprint arXiv:1202.3602},
year = {2012}
}
Comments
Initial manuscript, submitted to FOIS 2012