Assessing Similarity Value between Two Ontologies

Aly Ngoné Ngom, Guidedi Kaladzavi, Fatou Kamara-Sangaré, Moussa Lo

2018

Abstract

The aim of this paper is to present an appraoch for assessing similarity between ontolgies. This approach is based on set theory, edges-based semantic similarity and features based similarity. We first determine the set of concepts that is shared by two ontologies and the sets of concepts that are different from them. Then we extend ontologies by using the set of concepts shared by the two ontologies. Then we redetermine set of concepts shared by the two extended ontologies. finally, we end with the assessment of the similarity between ontologies by using the average values of similarity of the sets of specific concepts to each not extended ontologies, and the set of concepts shared by extended ontologies.

Paper Citation

in Harvard Style

Ngom A., Kaladzavi G., Kamara-Sangaré F. and Lo M. (2018). Assessing Similarity Value between Two Ontologies. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 343-350. DOI: 10.5220/0006959903430350

in Bibtex Style

@conference{keod18,
author={Aly Ngoné Ngom and Guidedi Kaladzavi and Fatou Kamara-Sangaré and Moussa Lo},
title={Assessing Similarity Value between Two Ontologies},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={343-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006959903430350},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - Assessing Similarity Value between Two Ontologies
SN - 978-989-758-330-8
AU - Ngom A.
AU - Kaladzavi G.
AU - Kamara-Sangaré F.
AU - Lo M.
PY - 2018
SP - 343
EP - 350
DO - 10.5220/0006959903430350
PB - SciTePress