DIO/ODI Reference Model

Resource information

Format

zip

Original repository

23966487

DOI

10.5281/zenodo.23966487

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Creators in Zenodo record metadata

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Open files available from the original Zenodo deposit

Last checked

Nov 5, 2026

License

cc-by-4.0

Last record update

Nov 5, 2026

About this resource

This record publishes the DIO/ODI Reference Model v0.6.0 , a versioned machine-readable reference layer for Digital Identity Optimization (DIO) and the Ontology of Digital Identity (ODI) . DIO is the applied discipline concerned with improving the conditions under which an entity's digital identity is reconstructed from its distributed digital representational state; ODI provides the theoretical meta-layer for examining the existence, persistence, variation, and reconstruction of that identity. The model is designed to make the DIO/ODI conceptual system consistently identifiable and interpretable across heterogeneous environments including artificial intelligence, search engines, knowledge graphs, and human observers. The Reference Model operates above the distributed DIO/ODI publication corpus rather than replacing it. It consolidates and cross-references concepts developed across the canonical multilingual Manifest, the DIO Conceptual Framework, The Crisis of Entity Resolution in Heterogeneous AI Environments , Minimum Viable DIO (MVDIO), and the subsequent Taxonomic Note on Reconstruction Failure Modes. Each concept retains source provenance, and later refinement does not erase the historical role of earlier publications. The model therefore provides a stable semantic layer through which the corpus can be navigated as one evolving, versioned conceptual object. At its core is the DIO/ODI Reference Vocabulary v0.2.0 , published in SKOS/RDF and JSON-LD under stable concept URIs. It represents the principal analytical distinctions of MVDIO, including the semantic field, distributed representational state, observation domain, observer, reconstruction mechanism, the canonical plural concept Identity-Preserving Constraints, identity-preserving variation, referential continuity, and semantic coherence. The former singular vocabulary entry is retained separately with an editorial history note; no semantic relation between the singular and plural concepts is asserted. It also preserves the K6 Semantic Connectome as the complete ordered set of six mutually conditioned dimensions—Entity, Representation, Interpretation, Trust, Relationship, and Reconstruction. K6 is not represented as a sequential pipeline or as a literal causal graph. The model also represents the current non-exclusive, multi-level hierarchy of Reconstruction Failure Modes : Referential Reconstruction Failures (Entity Substitution, Merge Failure, Split Failure, Entity Omission); Semantic Coherence Failures (Semantic Fragmentation); Temporal Reconstruction Failures (Temporal Discontinuity, Temporal Misalignment); and Contextual Adequacy Failures (Contextual Displacement). Identity Collapse remains a phenomenon-level concept outside this hierarchy. Semantic Vulnerability is represented as a robustness-related property rather than a realized failure mode, with Semantic Robustness as its conceptual counterpart; Reconstruction Capture remains a related concept without stronger causal commitment. Derived Application Mappings are deliberately separated from the canonical vocabulary. The RAG mapping projects DIO Reconstruction Failure Modes onto generic retrieval-augmented generation pipeline loci, mechanisms, observable symptoms, and hypothetical incidents. The v0.4.0 snapshot also includes an analytical extension on iterative and hypothesis-conditioned evidence acquisition: it examines how a working hypothesis may shape successive query, tool, and source choices, the evidence exposed