Fig 1.
Workflow of the NIRS Ontology Development and Application.
Fig 2.
Class Hierarchy of the NIRS Ontology.
BiPAP, Bilevel Positive Airway Pressure; CPAP, Continuous Positive Airway Pressure; COPD, Chronic Obstructive Pulmonary Disease; HFNC, High-Flow Nasal Cannula. Note: This figure displays only top-level classes. The hierarchical links represent semantic relationships and do not imply a deterministic clinical treatment pathway or causal relationship.
Table 1.
NIRS Ontology Object Properties.
Table 2.
NIRS Ontology Data Properties.
Fig 3.
Conceptual Model of the NIRS Ontology with Class Hierarchies and Property Relationships.
BiPAP, Bilevel Positive Airway Pressure; CPAP, Continuous Positive Airway Pressure; COPD, Chronic Obstructive Pulmonary Disease; FiO₂, Fraction of Inspired Oxygen; HFNC, High-Flow Nasal Cannula; PEEP, Positive End-Expiratory Pressure. Note: The arrows indicate that a relationship can exist between concepts (e.g., a Patient record containing both an Indication and a Therapy), and do not imply a deterministic clinical treatment pathway or causal relationship. Clinical decision logic and safety thresholds are handled separately by the SWRL rules described in Table 3.
Table 3.
SWRL Rule for Competency Questionnaire and Inferred Outcome.
Table 4.
Example of Clinical Instances for Patients.
Table 5.
Mappings for NIRS therapy Type Classes.
Fig 4.
Evaluation of SWRL rule logic for competency questionnaire.
(‘Example A or B: Input’) Patient’s scenario classes related to Competency question 1 or 2. (Example A or B: Outcome’) Patient’s scenario outcome classes retrieved by SPARQL.
Fig 5.
Retrieving Mapping Annotations by SPARQL.
(Example A) Patient’s indications and outcomes classes related to Competency question 1. (Example B) Patient’s indications and therapy type classes related to Competency question 2. (Example A or B: Mapping) Shows retrieved classes, labels, or definitions and Ontology mapping.