Extraction of common conceptual components from multiple ontologies

TL;DR

This paper introduces a new method for extracting common conceptual components from multiple ontologies to aid understanding and comparison, validated on domain-specific datasets with positive results.

Contribution

The paper presents a novel approach for identifying shared conceptual components across ontologies, enhancing ontology analysis and comparison capabilities.

Findings

Good quality extraction demonstrated

Correlated with datasets and tool performance

Effective across different domain corpora

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.