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Ontology selection for reuse: Will it ever get easier?

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conference contribution
posted on 19.11.2018 by Marzieh Talebpour, Martin Sykora, Tom Jackson
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.

History

School

  • Business and Economics

Department

  • Business

Published in

10th International Conference on Knowledge Engineering and Ontology Development - KEOD 2018

Citation

TALEBPOUR, M., SYKORA, M.D. 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 (KEOD 2018), Seville, Spain, 10-20th Sept. Setubal, Portugal: Scitepress, Vol 2, pp. 108-116.

Publisher

Science and Technology Publications

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

01/08/2018

Publication date

2018

Notes

This is a conference paper. KEOD is part of IC3K, the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.

ISBN

9789897583308

Language

en

Location

Seville, Spain

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