DLite - a lightweight data-centric framework for semantic interoperability
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Updated
Jan 15, 2026 - C
DLite - a lightweight data-centric framework for semantic interoperability
Documentation and resources on semantic interoperability efforts at Health-RI.
This is a repository for the two use cases described in the Association for Information Science and Technology (ASIS&T) 2017 annual conference paper: Agreeing to disagree: reconciling conflicting taxonomic views using a logic-based approach.
Lean 4 formalization of the exchange protocol schemas.
Lean 4 formalization of the Ontological Neutrality Theorem
Lean 4 formalization of the necessary and sufficient identity-and-persistence regimes for neutral accountability substrates.
TransportOntology: An Ontology for the Transportation System
Lean 4 formalization of Accountable Entities (AE): six named entity kinds and their mapping to six identity regimes.
eWoT enables semantic interoperable IoT ecosystems
A vocabulary for flash cards
An extensible means of communicating media between web apps
GDPR-inspired IoT Ontology enabling Semantic Interoperability, Federation of Deployments and Privacy Preserving Applications
A pipeline for creating Knowledge Graphs from CSV files tagged with IEC 61850 standard, featuring automated evaluation and performance monitoring. This pipeline follows the Omega-X ontology pattern for energy data modeling and semantic interoperability.
The Dynamic Knowledge System (DKS) develops adaptive knowledge representation models that evolve in real-time, learning, updating, and reasoning under uncertainty.
Classful Ontology for Life-Events Information Extraction
🗂️ Explore the Lean 4 formalization of Accountable Entities, detailing six entity types and their identity regime mappings for clear understanding and application.
🌐 Formalize structural constraints for ontological substrates, ensuring stability across diverse interpretations and frameworks in support of accountability.
🛠️ Formalize identity and persistence regimes for accountability in structural explainability within legal and analytic frameworks.
📜 Formalize exchange protocol schemas with Lean 4, ensuring structural integrity and composability of core data representations for clear data exchange.
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