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Crowdsourcing the verification of relationships in biomedical ontologies
2013
AMIA Annual Symposium Proceedings
Biomedical ontologies are often large and complex, making ontology development and maintenance a challenge. To address this challenge, scientists use automated techniques to alleviate the difficulty of ontology development. However, for many ontology-engineering tasks, human judgment is still necessary. Microtask crowdsourcing, wherein human workers receive remuneration to complete simple, short tasks, is one method to obtain contributions by humans at a large scale. Previously, we developed
pmid:24551391
pmcid:PMC3900126
fatcat:xxxl3bduubfebppuvii6iew77u