English

Disentangling Domain Ontologies

Artificial Intelligence 2023-04-04 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2304.00004,
  title  = {Disentangling Domain Ontologies},
  author = {Mayukh Bagchi and Subhashis Das},
  journal= {arXiv preprint arXiv:2304.00004},
  year   = {2023}
}

Comments

In: Proceedings of the 19th Italian Research Conference on Digital Libraries (IRCDL), February 23-24, 2023, Bari, Italy

R2 v1 2026-06-28T09:43:44.104Z