A Simple Tool to Enrich Clinical Trial Data with Multiontology-Based Conceptual Tags

  • Holger StenzhornEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10649)


The use of ontologies to ease planning and execution of clinical trials and the handling of the resulting data has been proposed in various forms over the past years ranging from dedicated ontologies to ontology-driven software.


  1. 1.
    Apache Software Foundation: Lucene.
  2. 2.
    Brochhausen, M., Weiler, G., Cocos, C., et al.: The ACGT master ontology on cancer - a new terminol. source for oncolog. Practice. In: Proceedings of IEEE Symposium on Computer-Based Medical Systems (2008)Google Scholar
  3. 3.
    CDISC Consortium: Operational Data Model (ODM).
  4. 4.
    DCMI: Dublin Core Meta. Elem. Set.
  5. 5.
    Doods, J., Neuhaus, P., Dugas, M.: Converting ODM metadata to FHIR questionnaire resources. Stud. Health Technol. Inform. 228, 456–460 (2016)Google Scholar
  6. 6.
    Gearon, P., et al.: SPARQL Update.
  7. 7.
    Leroux, H., Metke-Jimenez, A., Lawley, M.: ODM on FHIR: towards achieving semantic interoperability of clinical study data. In: Proceedings of SWAT4LS (2015)Google Scholar
  8. 8.
    National Cancer Institute: NCI Thesaurus.
  9. 9.
    Sanfilippo, E., Schwarz, U., Schneider, L.: The health data ontology trunk (HDOT) - towards an ontolog. represent. of cancer-related knowledge. In: Proceedings of IARWISOCI (2012)Google Scholar
  10. 10.
    SNOMED International: SNOMED CT.
  11. 11.
    Stenzhorn, H., Weiler, G., Brochhausen, M., Schera, F., Kritsotakis, V., et al.: The ObTiMA system - ontology-based managing of clinical trials. In: Proceedings of Medinfo (2010)Google Scholar
  12. 12.
    FHIR IS WG. FHIR RDF Representation.

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Chair of Methods in Medical InformaticsUniversity of TübingenTübingenGermany
  2. 2.Faculty of MedicineSaarland UniversityHomburgGermany

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