Developing a tool for crowd-sourcing to Verify a Radiation Oncology Ontology: a Summer Project

Authors

  • Joshua Pratt Centre for Oncology Informatics, Faculty of Engineering & Information Science, University of Wollongong, Wollongong NSW 2515
  • Vishal Pandian Centre for Oncology Informatics, Faculty of Engineering & Information Science, University of Wollongong, Wollongong NSW 2515
  • Evan Morrison Centre for Oncology Informatics, Faculty of Engineering & Information Science, University of Wollongong, Wollongong NSW 2515
  • Alexis Andrew Miller Illawarra Cancer Care Centre, Wollongong Hospital, Wollongong NSW 2500

DOI:

https://doi.org/10.5166/jroi-6-1-23

Abstract

We have been unable to find a verified, published Radiation Oncology Ontology. We undertook the process of verifying a Radiation Oncology Ontology with a mixture of crowd-sourcing and expert-based approaches to verify relationships in the ontology. We used a natural language based approach to portray concepts and relationships, surveying users to assess the relationships between concepts in the Radiation Oncology ontology. The work used a description of a patient's history expressed in XML. The natural language statements relating concepts are available on a website for verification, and readers are invited to complete the survey at http://coi-hs-survey.appspot.com/ to contribute.

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Published

2017-10-02

Issue

Vol. 6 No. 1 (2014)

Section

Technical Reports / Case Reports

License

Copyright remains with the author(s).

Articles published until 2016 were published under CC BY-NC-ND 2.0.

How to Cite

Pratt, J., Pandian, V., Morrison, E., & Miller, A. A. (2017). Developing a tool for crowd-sourcing to Verify a Radiation Oncology Ontology: a Summer Project. Journal of Radiation Oncology Informatics, 6(1), 42-52. https://doi.org/10.5166/jroi-6-1-23