Authors:
Bernabé Batchakui
1
;
Emile Tawamba
2
and
Roger Nkambou
3
Affiliations:
1
National Advanced School of Engineering, University of Yaoundé 1, Yaoundé, Cameroon
;
2
University Institute of Technology, University of Douala, Douala, Cameroon
;
3
Department of Computing, University of Quebec at Montreal, Montreal, Canada
Keyword(s):
Structural Modularization, Semantic Modularization, Segmentation Algorithm, Stuckenschmidt Approach, Cuenca Grau Approach, Wu and Palmer Measurement, OWL Module Extractor, Ontology Segmentation.
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.