A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866915673168412672 |
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| author | Doğan, Ege Atacan Patel-Schneider, Peter F. |
| author_facet | Doğan, Ege Atacan Patel-Schneider, Peter F. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_12260 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure Doğan, Ege Atacan Patel-Schneider, Peter F. Artificial Intelligence Databases 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. |
| title | A Multi-Axial Mindset for Ontology Design Lessons from Wikidata's Polyhierarchical Structure |
| topic | Artificial Intelligence Databases |
| url | https://arxiv.org/abs/2512.12260 |