When I first encountered Yewno’s founder and CEO Ruggero Gramatica, he had just successfully carried out a proof of concept in applied mathematics at a Swiss biotech firm. He had applied knowledge graph technology to map concepts from data that is widely known to be fragmented, conflicting, and scattered across thousands of databases and platforms.

Throughout the course of my entire career, I have been looking for ways to get around the limitations of language and technology and restrictive data formats. When I saw the knowledge graph framework that Ruggero had built, it immediately occurred to me that the same technology could be applied to University library collections. I invited Ruggero to come to Stanford University where he again carried out another proof of concept, which became Yewno’s first product, the academic research platform called “Yewno Discover”. Stanford University Library has been using Yewno Discover for over three years now.

Yewno has created a discovery environment, not a search engine. Using a proprietary knowledge graph framework Yewno is able not only to read and store full text, but to identify concepts and associate concepts across disciplines. This allows students and researchers to identify relationships, shape and reshape hypotheses as they go.

Professor Michael Keller, Vice Provost and University Librarian, Stanford University

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