Application of MCAT questions as a testing tool and evaluation metric for knowledge graph-based reasoning systems.

ABSTRACT: "Knowledge graphs" (KGs) have become a common approach for representing biomedical knowledge. In a KG, multiple biomedical data sets can be linked together as a graph representation, with nodes representing entities, such as "chemical substance" or "genes," and edges representing predicates, such as "causes" or "treats." Reasoning and inference algorithms can then be applied to the KG and used to generate new knowledge. We developed three KG-based question-answering systems as part of the Biomedical Data Translator program. These systems are typically tested and evaluated using traditional software engineering tools and approaches. In this study, we explored a team-based approach to test and evaluate the prototype "Translator Reasoners" through the application of Medical College Admission

SUBMITTER: Fecho K 

PROVIDER: S-EPMC8504839 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature