Patent Analytics: Transforming IP Strategy Into Intelligence

ISBN-13: 9789811629297 / Angielski / Twarda / 2021 / 206 str.

Jieun Kim; Buyong Jeong; Daejung Kim

Spis treści

Introduction

Part I: Data. Emergence of Patent Big Data

Chapter 1         Patent as Big Data?

                        The journal of 230 years

                        Patent, a living organism

                        Patent as open data

Chapter 2         Significant Points in the History of Patents

                        1836, The First Patent with Claims

                        1790, Start of the U.S. Patent System

                        Again 1836, The Great Fire and Patent Numbering

                        1947, Genesis of Citation

Chapter 3         Understanding Patent Data

                        The Meaning of Patent Gazette
                        Utility, Design Patents, and Trademarks
                        The Butterfly Effect of Design Patent: Drill Bit’s partial claim

Claims, “Legally, Less is More!”

 

Part II.             Network: Patent Network Visualization

Chapter 4         Prelude to the Era of Patent Data Visualization

Unexpected Encounters

Bigger, Faster and Stronger

Timeline and Panoramic Viewpoint

Chapter 5         Effective Visual Mapping of Patent Data

                        One Dimensional Data

                        Two-dimensional Data

                        Multidimensional Data

Chapter 6         The Power of Patent Citation Networks

                        What is a Citation Worth?

                        The Apple’s Design Patent Network

                        Knowledge Flow of Patent Citation

                        Draw Patent Transaction Networks

Chapter 7         A Complete Guide to Patent Network Visualization

An Overview of Tools 

Four Practical Steps to Get Started

 

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

 

Perspectives      The Renaissance of Innovation Analytics with AI

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

O autorze

Jieun Kim is an associate professor at the Graduate School of Technology and Innovation Management, Hanyang University and co-directs an interdisciplinary research lab - Imagine X lab since 2013. She has a BA in Industrial Design from KAIST (2007) and an MS and PHD in Industrial Engineering from Arts et Métiers ParisTech, Paris (2008/2011), followed by the Leverhulme Research Fellowship (2012) at Royal College of Art in London. She was a visiting associate professor at Human Communication Technologies Lab, University of British Columbia (2020). She served as a general co-chair of ACM TVX 2018 and continued to contribute to many international design and innovation management communities as reviewers and speakers. 

Buyong Jeong is a deputy director in the Korean Intellectual Property Office (KIPO). Before joining KIPO in 2015, he worked as a patent attorney at PLUS International IP Law firm (2009–2014). He has been involved in various projects and policies for the Trademark and Design Examination bureau of KIPO. His legal and practical expertise is supported by his academic background, having obtaining bachelor’s and master’s degrees in Industrial design from Korea Advanced Institute of Science and Technology (KAIST). He is the co-author of the Korean chapter for AIPPI Law Series: Design Rights, Functionality and Scope of Protection (by Christopher V. Carani / Wolters Kluwer 2017). 

Daejung Kim is a data scientist specializing in intellectual property and a senior lecturer at Hankyong National University. He holds his Ph.D. in technology and innovation management from Hanyang University. He is a frequent speaker and consultant in strategic technology and management solutions for many law firms and corporate legal departments.

Blurb

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.