Feasibility of modeling HL7 FHIR profiles using RDF shape expressions language

Harold Solbrig, Eric Prud'hommeaux, Deepak K. Sharma, Christopher Chute, Guoqian Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This presentation describes our progress to date in developing tools to mechanically parse the core models in the HL7 Fast Healthcare Interoperability Resources (FHIR) DSTU2 Ballot, and produce corresponding Shape Expressions (ShEx) schemas. In it we describe the transformation process, and how the resulting artifacts can be used in modeling FHIR profiles, and its validation and information mapping. We also discuss our plans to integrate this process into the OpenRefine platform to provide a user-friendly interface to support RDF/FHIR data element harmonization and model transformation.

Original languageEnglish (US)
Title of host publicationCEUR Workshop Proceedings
PublisherCEUR-WS
Pages208-209
Number of pages2
Volume1546
StatePublished - 2015
Event8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015 - Cambridge, United Kingdom
Duration: Dec 7 2015Dec 10 2015

Other

Other8th International Conference on Semantic Web Applications and Tools for Life Sciences, SWAT4LS 2015
CountryUnited Kingdom
CityCambridge
Period12/7/1512/10/15

Keywords

  • HL7 Fast Healthcare Interoperability Resources (FHIR)
  • Resource Description Framework (RDF)
  • Semantic Web Technologies
  • Shape Expressions Language (ShEx)
  • Yosemite Manifesto

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Solbrig, H., Prud'hommeaux, E., Sharma, D. K., Chute, C., & Jiang, G. (2015). Feasibility of modeling HL7 FHIR profiles using RDF shape expressions language. In CEUR Workshop Proceedings (Vol. 1546, pp. 208-209). CEUR-WS.