AIJun 24, 2021

Extraction of common conceptual components from multiple ontologies

arXiv:2106.12831v2
Originality Synthesis-oriented
AI Analysis

This addresses the issue of ontology comprehension for ontology engineering tasks, but it appears incremental as it builds on existing evaluation frameworks.

The authors tackled the problem of understanding large ontologies by developing a method to extract common conceptual components from multiple domain ontologies, with results showing good quality as evaluated through manual inspection and correlation with existing datasets and tools.

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.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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