Patent Analytics: Transforming IP Strategy into Intelligence

Intellectual Property / Patent / Copyright

Patent Analytics: Transforming IP Strategy into Intelligence

Edited by Jieun Kim · Buyong Jeong · Daejung Kim
Springer-Verlag July 2021

Specifications

ISBN-13
9789811629297
Publisher
Springer-Verlag
Publication
July 2021
Format
Hardback
Jurisdiction
Singapore ? Countri(es) for reference only

Details

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.

Table of Contents

Contents: Introduction
Part I: Data. Emergence of Patent Big Data
Chapter 1. Patent as Big Data?
Chapter 2. Significant Points in the History of Patents
Chapter 3. Understanding Patent Data
Part II. Network: Patent Network Visualization
Chapter 4. Prelude to the Era of Patent Data Visualization
Timeline and Panoramic Viewpoint
Chapter 5. Effective Visual Mapping of Patent Data
Chapter 6. The Power of Patent Citation Networks
Chapter 7. A Complete Guide to Patent Network Visualization
Part III Analytics: Uncharted Corporate Innovations
Chapter 8. Dyson, From Bladeless Fan to Hair Dryer
Chapter 9. Bose's Beyond Sound
Chapter 10. Innovation Assimilation of M&As in Adobe.
Chapter 11. Network Patterns of Inventor Collaboration: Google vs. Apple
Chapter 12. Samsung vs. LG, Map of the Competitive Landscape
Chapter 13. Is Trademark the First Sparring Partner of AI?
Chapter 14. New Patent or Not? From Search to Legal Automation
Chapter 15. Legal Technologies in Action
Afterword
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