Joshua Pratt, V. Pandian, Evan D. Morrison, Andrew Miller
{"title":"Developing a tool for crowd-sourcing to Verify a Radiation Oncology Ontology: a Summer Project","authors":"Joshua Pratt, V. Pandian, Evan D. Morrison, Andrew Miller","doi":"10.5166/JROI-6-1-23","DOIUrl":null,"url":null,"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.","PeriodicalId":426862,"journal":{"name":"Journal of Radiation Oncology Informatics","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Radiation Oncology Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5166/JROI-6-1-23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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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