Artificial Intelligence-Led Content Publishing, Metadata Creation, and Knowledge Discovery

Abstract

Digital transitions have had strong headwinds in scholarly publishing for the past decade. It started with digitising content and is resting somewhere between tying up diverse content and catering to diverse end users. The goal is still to keep up with the changing landscape, and a demonstrable way of doing so is to actively participate by quickly adapting to standards. Artificial intelligence (AI) has a proven track record of helping with this and is an integral part of the solution frameworks. The chapter content includes a brief insight into some practices and workflows within scholarly publishing that stand to benefit from direct intervention of AI. These include editorial decision systems, metadata enrichments, metadata standardization, and search augmentations. The authors bring to light various developments in scholarly publishing and the status of some of the best implementations of AI techniques in aiding and upkeep of the ‘digital transformations'.