"Terminology integration and inconsistency identification of adverse event terminology for Japanese medical devices using SPARQL"
This research was conducted by Ayako Yagahara and Hideto Yokoi. It was published in the BMC Medical Informatics and Decision Making journal. The study aimed to integrate 89 sets of terminologies related to medical device adverse events in Japan and evaluate inconsistencies among them using SPARQL. The authors evaluated six matters of inconsistency, finding that terms that need to be reviewed accounted for about 10% or less in each item. The study concluded that RDF and SPARQL were useful tools to explore inconsistencies of hierarchies, definition statements, and synonyms when integrating terminology by term notation, and these had the advantage of reducing the physical and time burden.