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Start-up story: Yewno: an AI-driven path to a knowledge-based future Cover

Start-up story: Yewno: an AI-driven path to a knowledge-based future

Open Access
|Jul 2017

Abstract

In today’s world of instant communication and online access to vast stores of data, researchers and students have greater access to information than at any time in history. But as information has become more and more available, it has also become increasingly dispersed and fragmented, and the path to knowledge more challenging than ever. 

 

How can a library help researchers more effectively and meaningfully navigate this ocean of data? Traditional keyword search systems produce valuable results, but function in a linear way. Heaven help those researchers who only get exactly what they ask for! Those of us who have been involved in the development of Yewno believe that we have found a new approach – a new philosophy of research, if you will – that offers a leap forward in the world of library discovery. 

DOI: https://doi.org/10.1629/uksg.369 | Journal eISSN: 2048-7754
Language: English
Submitted on: May 4, 2017
Accepted on: May 31, 2017
Published on: Jul 10, 2017
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2017 Ruggero Gramatica, Ruth Pickering, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.