A reusable ontology for primitive and complex HL7 FHIR data types

HL7® FHIR® standard is a new standard aiming to offer more flexible interoperability mechanisms. We present a stand-alone RDF vocabulary as an OWL ontology that defines the primitive and complex data types of the FHIR framework, alongside their validation rules. We address the non-trivial questions of representing FHIR data types as RDF/OWL constructs in a coherent and complete manner. The proposed ontology can be used as a basic framework, where the complexity of a FHIR-based EHR is not required, while still maintaining semantic cohesion with an industrybased standard. It can also be the base for a complete representation of FHIR model as an ontology.

[1]  Kai Eckert,et al.  Requirements on RDF Constraint Formulation and Validation , 2014, Dublin Core Conference.

[2]  Ioanna Chouvarda,et al.  WELCOME — Innovative integrated care platform using wearable sensing and smart cloud computing for COPD patients with Comorbidities , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[3]  Ioanna Chouvarda,et al.  Evaluation of the performance of open-source RDBMS and triplestores for storing medical data over a web service , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.