NIRS Ontology: Clinical Instances for Non-Invasive Respiratory Support

An ontology for non-invasive respiratory support (NIRS) contains 145 classes, 11 object properties, and 18 data properties across 949 axioms. It was developed by Md Fantacher Islam using OWL and Protégé, with last metadata update in 2026. The ontology includes 392 annotations and was evaluated using 6 patient scenarios and SPARQL queries.

Use Cases

• Supporting rule-based clinical reasoning based on Semantic Web Rule Language (SWRL) rules mentioned in the description
• Enabling consistent documentation practices based on the unified ontological framework for NIRS modalities
• Integrating domain concepts into clinical data models based on formally represented ventilation modalities and patient characteristics
• Querying patient outcomes and therapy recommendations based on SPARQL query evaluations across clinical scenarios

Strengths

• Ontology is formally defined with 145 classes, 11 object properties, and 18 data properties across 949 axioms
• Includes 392 annotations for standardizing clinical concepts with descriptive definitions
• Logical reasoning was evaluated using a sample of 6 patient scenarios, with SPARQL queries successfully validating test cases

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 9.5 KB, indicating a limited scope of example instances

Provenance

Source

figshare

Collection Method

Developed using Web Ontology Language (OWL) and Protégé, with evaluation via patient scenarios and SPARQL queries.

Time Range

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Freshness

Last updated 2026-05-04 17:39:28; freshness should be verified

Geography

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