A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure
Artificial Intelligence
2025-12-16 v1 Databases
Abstract
Traditional ontology design emphasizes disjoint and exhaustive top-level distinctions such as continuant vs. occurrent, abstract vs. concrete, or type vs. instance. These distinctions are used to structure unified hierarchies where every entity is classified under a single upper-level category. Wikidata, by contrast, does not enforce a singular foundational taxonomy. Instead, it accommodates multiple classification axes simultaneously under the shared root class entity. This paper analyzes the structural implications of Wikidata's polyhierarchical and multi-axial design. The Wikidata architecture enables a scalable and modular approach to ontology construction, especially suited to collaborative and evolving knowledge graphs.
Keywords
Cite
@article{arxiv.2512.12260,
title = {A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure},
author = {Ege Atacan Doğan and Peter F. Patel-Schneider},
journal= {arXiv preprint arXiv:2512.12260},
year = {2025}
}