COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach

Bernabé Batchakui, Emile Tawamba, Roger Nkambou

2021

Abstract

The design of ontologies is a non-trivial task that can simply be reduced to the reuse of one or more existing ontologies. However, since an expert in knowledge engineering would only need a part of the ontology to perform a specific task, obtaining this partition will require the modularization of ontologies. This article proposes a tool named COMET, based on hybrid modularization, composed of existing structural and semantic modularization techniques, that, from an ontology and a list of input terms, generates, according to an integrated segmentation algorithm, a module which in fact is a segment consisting only of concepts deemed relevant. The segmentation algorithm is based on two parameters which are hierarchical deep and semantic threshold.

Paper Citation

in Harvard Style

Batchakui B., Tawamba E. and Nkambou R. (2021). COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach. In Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD; ISBN 978-989-758-533-3, SciTePress, pages 74-83. DOI: 10.5220/0010688300003064

in Bibtex Style

@conference{keod21,
author={Bernabé Batchakui and Emile Tawamba and Roger Nkambou},
title={COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach},
booktitle={Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD},
year={2021},
pages={74-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010688300003064},
isbn={978-989-758-533-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2021) - Volume 2: KEOD
TI - COMET: An Ontology Extraction Tool based on a Hybrid Modularization Approach
SN - 978-989-758-533-3
AU - Batchakui B.
AU - Tawamba E.
AU - Nkambou R.
PY - 2021
SP - 74
EP - 83
DO - 10.5220/0010688300003064
PB - SciTePress