Karamarie Fecho, Chris Bizon, Tursynay Issabekova, Sierra Moxon, Anne E Thessen, Shervin Abdollahi, Sergio E Baranzini, Basazin Belhu, William E Byrd, Lawrence Chung, Andrew Crouse, Marc P Duby, Stephen Ferguson, Aleksandra Foksinska, Laura Forero, Jennifer Friedman, Vicki Gardner, Gwênlyn Glusman, Jennifer Hadlock, Kristina Hanspers, Eugene Hinderer, Charlotte Hobbs, Gregory Hyde, Sui Huang, David Koslicki, Philip Mease, Sandrine Muller, Christopher J Mungall, Stephen A Ramsey, Jared Roach, Irit Rubin, Shepherd H Schurman, Anath Shalev, Brett Smith, Karthik Soman, Sarah Stemann, Andrew I Su, Casey Ta, Paul B Watkins, Mark D Williams, Chunlei Wu, Colleen H Xu
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph-based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system...
2023: Journal of Clinical and Translational Science