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Authors: Marzieh Talebpour ; Martin Sykora and Tom Jackson

Affiliation: School of Business and Economics, Loughborough University, Loughborough and U.K.

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

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: Ontologists and knowledge engineers tend to examine different aspects of ontologies when assessing their suitability for reuse. However, most of the evaluation metrics and frameworks introduced in the literature are based on a limited set of internal characteristics of ontologies and dismiss how the community uses and evaluates them. This paper used a survey questionnaire to explore, clarify and also confirm the importance of the set of quality related metrics previously found in the literature and an interview study. According to the 157 responses collected from ontologists and knowledge engineers, the process of ontology selection for reuse depends on different social and community related metrics and metadata. We believe that the findings of this research can contribute to facilitating the process of selecting an ontology for reuse.

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Paper citation in several formats:
Talebpour, M.; Sykora, M. and Jackson, T. (2018). Ontology Selection for Reuse: Will It Ever Get Easier?. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD; ISBN 978-989-758-330-8; ISSN 2184-3228, SciTePress, pages 108-116. DOI: 10.5220/0006937101080116

@conference{keod18,
author={Marzieh Talebpour. and Martin Sykora. and Tom Jackson.},
title={Ontology Selection for Reuse: Will It Ever Get Easier?},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD},
year={2018},
pages={108-116},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006937101080116},
isbn={978-989-758-330-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - KEOD
TI - Ontology Selection for Reuse: Will It Ever Get Easier?
SN - 978-989-758-330-8
IS - 2184-3228
AU - Talebpour, M.
AU - Sykora, M.
AU - Jackson, T.
PY - 2018
SP - 108
EP - 116
DO - 10.5220/0006937101080116
PB - SciTePress

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