Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual components from domain ontologies, which are used to understand and compare them. The method is applied to two corpora of ontologies in the Cultural Heritage and Conference domain, respectively. The results, which show good quality, are evaluated by manual inspection and by correlation with datasets and tool performance from the ontology alignment evaluation initiative.
Luigi Asprino, V.A.C. (2021). Extraction of common conceptual components from multiple ontologies. New York : Association for Computational Linguistics [10.1145/3460210.3493542].
Extraction of common conceptual components from multiple ontologies
Luigi Asprino
;Valentina Anita Carriero;Valentina Presutti
2021
Abstract
Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual components from domain ontologies, which are used to understand and compare them. The method is applied to two corpora of ontologies in the Cultural Heritage and Conference domain, respectively. The results, which show good quality, are evaluated by manual inspection and by correlation with datasets and tool performance from the ontology alignment evaluation initiative.| File | Dimensione | Formato | |
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