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Author: Birger Lantow

Affiliation: Rostock University, Germany

Keyword(s): Ontology, Ontology Evaluation, Ontology Metrics, Ontology Quality.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Symbolic Systems

Abstract: Automatically calculated metrics are needed in order to evaluate ontology quality. Otherwise, major resources are required in order to manually assess certain Quality Criteria of an ontology. While there is rule based support for the detection modelling errors and the violation of ontology modelling guidelines, there is a lack of support for calculating ontology metrics. However, metrics can serve as indicators for possible quality problems that are not covered rule based ontology evaluation. Many metrics have been proposed that correlate for example with ontology characteristics like Readability, Adaptability, and Reusability. However, there is a lack of tool support. OntoMetrics provides free access to metric definition and calculation. Furthermore it fosters the development of knowledge regarding the application of Ontology Metrics. This paper provides theoretical background and usage scenarios for the OntoMetrics on-line platform.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Lantow, B. (2016). OntoMetrics: Putting Metrics into Use for Ontology Evaluation. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KEOD; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 186-191. DOI: 10.5220/0006084601860191

@conference{keod16,
author={Birger Lantow.},
title={OntoMetrics: Putting Metrics into Use for Ontology Evaluation},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KEOD},
year={2016},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006084601860191},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KEOD
TI - OntoMetrics: Putting Metrics into Use for Ontology Evaluation
SN - 978-989-758-203-5
IS - 2184-3228
AU - Lantow, B.
PY - 2016
SP - 186
EP - 191
DO - 10.5220/0006084601860191
PB - SciTePress