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Start-up story Yewno: an AI-driven path to a knowledge-based future
Author(s) -
Ruggero Gramatica,
Ruth Pickering
Publication year - 2017
Publication title -
insights the uksg journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.41
H-Index - 14
ISSN - 2048-7754
DOI - 10.1629/uksg.369
Subject(s) - heaven , function (biology) , computer science , path (computing) , instant , world wide web , ask price , data science , history , physics , archaeology , quantum mechanics , evolutionary biology , programming language , economy , economics , biology
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

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