Patent Analytics: Transforming IP Strategy into Intelligence

Kim, Jieun; Jeong, Buyong; Kim, Daejung

Through the prisms of a data scientist, a patent attorney, and a designer, this book demystifies the complexity of patent data and its structure and reveals their hidden connections by employing elaborate data analytics and visualizations using a network map. This book provides a practical guide to introduce and apply patent network analytics and visualization tools in your business. We incorporate case studies from renowned companies such as Apple, Dyson, Adobe, Bose, Samsung and more, to scrutinise how their underlying values of patent network drive innovation in their business. Finally, this book advances readers’ perspective of patent gazettes as big data and as a tool for innovation analytics when coupled with Artificial Intelligence.

Details

Published by: Springer

Publication Date: 2022-07-07

Format: Paperback

ISBN-13: 9789811629327

DOI: 10.1007/978-981-16-2930-3

Dimensions: 235cm x155cm

Pages: 206