# Disentangling Domain Ontologies

arXiv: https://arxiv.org/abs/2304.00004 · HTML: https://mlsanity.com/paper/2304.00004/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 51 references that are in the map.
- First posted on arXiv 21 Mar 2023.

## Builds on (most cited first, 1 of 1)

- [A Diversity-Aware Domain Development Methodology](https://mlsanity.com/paper/2208.13064/) (2022)

## Built on by (most cited first, 2 of 2)

- [A Generative AI-driven Metadata Modelling Approach](https://mlsanity.com/paper/2501.04008/) (2024)
- [Information Ecosystem Reengineering via Public Sector Knowledge Representation](https://mlsanity.com/paper/2508.15916/) (2025)

## Abstract (arXiv)

In this paper, we introduce and illustrate the novel phenomenon of Conceptual Entanglement which emerges due to the representational manifoldness immanent while incrementally modelling domain ontologies step-by-step across the following five levels: perception, labelling, semantic alignment, hierarchical modelling and intensional definition. In turn, we propose Conceptual Disentanglement, a multi-level conceptual modelling strategy which enforces and explicates, via guiding principles, semantic bijections with respect to each level of conceptual entanglement (across all the above five levels) paving the way for engineering conceptually disentangled domain ontologies. We also briefly argue why state-of-the-art ontology development methodologies and approaches are insufficient with respect to our characterization.