Just-In-Time Ontology: Emergent Ontological Structure in Embedded Knowledge Graphs

Contact: [email protected]. We document a phenomenon in which an embedded knowledge graph spontaneously generates ontological structure without any layer being designed to produce ontology. Cross-graph validation on six graphs confirms universal hub non-centrality (95-100%) and encoder-conditional angular specificity gradients. GitHub: github.com/mjgodat/cosine-drainage-theorem

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-04
DOI
https://doi.org/10.5281/zenodo.22085504
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
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article

Just-In-Time Ontology: Emergent Ontological Structure in Embedded Knowledge Graphs

Michael Godat
Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

Just-In-Time Ontology: Emergent Ontological Structure in Embedded Knowledge Graphs

Michael Godat
article en

Abstract

Contact: [email protected]. We document a phenomenon in which an embedded knowledge graph spontaneously generates ontological structure without any layer being designed to produce ontology. Cross-graph validation on six graphs confirms universal hub non-centrality (95-100%) and encoder-conditional angular specificity gradients. GitHub: github.com/mjgodat/cosine-drainage-theorem

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 22%
Biomedical Text Mining and Ontologies
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