NIRS Ontology: Object Properties for Non-Invasive Respiratory Support

145 classes and 949 axioms formally represent concepts for non-invasive respiratory support (NIRS) in acute care. The ontology, developed by Md Fantacher Islam using OWL and Protégé, includes 11 object properties and 18 data properties, with 392 annotations for concept standardization. SPARQL queries validated rule-based reasoning across 6 patient scenarios, demonstrating a foundation for EHR integration and clinical decision support.

Use Cases

• Building clinical decision support systems based on the formal representation of ventilation modalities and patient characteristics.
• Enhancing EHR data interoperability based on the ontology's unified framework for NIRS concepts.
• Testing semantic reasoning rules based on the included SWRL rules and SPARQL query validation.
• Standardizing documentation practices for NIRS therapies based on the ontology's controlled vocabularies and annotations.

Strengths

• Formally structured with 145 classes, 11 object properties, and 18 data properties across 949 axioms.
• Includes 392 annotations for concept standardization based on controlled vocabularies.
• Rule-based reasoning was validated using SPARQL queries across 6 patient scenarios.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating a limited, proof-of-concept scope.

Provenance

Source

figshare

Collection Method

Manually developed ontology using Web Ontology Language (OWL) and Protégé.

Time Range

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Freshness

Last updated 2026-05-04 17:39:24; freshness should be verified.

Geography

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