Data-driven Diachronic and Categorical Evaluation of Ontologies - Framework, Measure, and Metrics

Hlomani Hlomani, Deborah A. Stacey

2014

Abstract

Ontologies are a very important technology in the semantic web. They are an approximate representation and formalization of a domain of discourse in a manner that is both machine and human interpretable. Ontology evaluation therefore, concerns itself with measuring the degree to which the ontology approximates the domain. In data-driven ontology evaluation, the correctness of an ontology is measured agains a corpus of documents about the domain. This domain knowledge is dynamic and evolves over several dimensions such as the temporal and categorical. Current research makes an assumption that is contrary to this notion and hence does not account for the existence of bias in ontology evaluation. This work addresses this gap and proposes two metrics as well as a theoretical framework. It also presents a statistical evaluation of the framework and the associated metrics.

Paper Citation

in Harvard Style

Hlomani H. and A. Stacey D. (2014). Data-driven Diachronic and Categorical Evaluation of Ontologies - Framework, Measure, and Metrics . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 56-66. DOI: 10.5220/0005072700560066

in Bibtex Style

@conference{keod14,
author={Hlomani Hlomani and Deborah A. Stacey},
title={Data-driven Diachronic and Categorical Evaluation of Ontologies - Framework, Measure, and Metrics},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={56-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005072700560066},
isbn={978-989-758-049-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Data-driven Diachronic and Categorical Evaluation of Ontologies - Framework, Measure, and Metrics
SN - 978-989-758-049-9
AU - Hlomani H.
AU - A. Stacey D.
PY - 2014
SP - 56
EP - 66
DO - 10.5220/0005072700560066