Patent Analytics: Transforming IP Strategy into Intelligence

Foreword
Contents
About the Authors
Abbreviations
List of Figures
List of Tables
1 Introduction
	1.1 The Prism of Patent Big Data
		1.1.1 The Vs to the Patent Big Data Paradigm
		1.1.2 Coping with Patent Big Data Complexity
		1.1.3 Harnessing Patent Big Data Analytics to Make a Difference
	1.2 Overview of the Book
		1.2.1 Part I: Patent as Data
		1.2.2 Part II: Network Analytics
		1.2.3 Part III: Uncover Corporate Innovation with Patent Analytics
		1.2.4 Part IV: Future Developments with AI
	References
Part I Patent as Data
2 A Brief History of Patents
	2.1 The Prelude of the Patent System
	2.2 The First Patent with Claims
	2.3 The Great Fire and Patent Numbering
	2.4 Genesis of Citations
	2.5 Summary
	References
3 Understanding Patent Data
	3.1 Patents, Designs, and Trademarks
	3.2 A Walk Through of Patent Data Fields
		3.2.1 INID Codes and Bibliographic Data
		3.2.2 Patent Numbering System and Kind-Of-Documents
		3.2.3 Patent Classification System
		3.2.4 International Patent Classification (INID Code: 51)
		3.2.5 Cooperative Patent Classification (INID Code: 52)
	3.3 Same Same, but Different Design Patents
	3.4 Comprehending Trademark Data
	3.5 Summary
	References
4 Claims, “Legally, Less is More!”
	4.1 Disentangling Patent Claims
	4.2 Broad or Narrow: All-Elements Rule
	4.3 Anatomy of Patent Claims
	4.4 The Butterfly Effect of Design Patents
	4.5 Summary
	References
Part II Network Analytics
5 Basic Network Concepts
	5.1 Why Does Patent Network Analysis Matter?
	5.2 Basic Concept of Network and Graph Theory
		5.2.1 Node, Edges, and Attributes
		5.2.2 Undirected and Directed Network
		5.2.3 One-Mode and Two-Mode Networks
		5.2.4 Ego Networks and Complete Networks
	5.3 Network Metrics
		5.3.1 Centrality
		5.3.2 Network Diameter and Density
		5.3.3 Clustering and Modularity
	5.4 Summary
	References
6 Patent Citations Analysis
	6.1 The Meaning of Patent Citations
	6.2 How to Scale up Patent Citation Networks
	6.3 Pitfalls and Best Practices in Using Patent Citation Data
	6.4 Summary
	References
7 Patent Data Through a Visual Lens
	7.1 Unexpected Encounters
	7.2 Six Basic Charts
		7.2.1 Bar, Line, and Pie Charts
		7.2.2 Geospatial Visualizations
		7.2.3 Bubble Charts
		7.2.4 Treemaps
	7.3 Network Visualizations
	7.4 Summary
	References
8 How to Study Patent Network Analysis
	8.1 Research Design
	8.2 Choosing Network Analysis Tools
	8.3 Four Practical Steps for Patent Network Analysis
	8.4 Summary
	References
Part III Uncover Corporate Innovation with Patent Analytics
9 Is Innovation Design-or Technology-Driven? Dyson
	9.1 Dyson: From Bagless Vacuum Cleaner to Bladeless Hairdryer
	9.2 Dyson’s Patent Citation Analysis: A Complete Network
	9.3 Technology or Design First? Ego Networks of the Bladeless Fan
	9.4 Forecasting Dyson’s Next Innovation
	References
10 Predict Strategic Pivot Points: Bose
	10.1 Bose's New Neat! Innovation Pivots
	10.2 Core Innovation: Better Sound
	10.3 Four Innovation Pivots: Beyond Sound
		10.3.1 Technology Pivot: Suspension Seats for Vehicles
		10.3.2 Customer Segment Pivot: High-Tech Cooktops
		10.3.3 Platform Pivot: Audio AR Sunglasses
		10.3.4 Zoom-In Pivot: Noise-Masking Sleepbuds
	10.4 Summary
	References
11 Who Drives Innovation? Apple
	11.1 The Shapes of Internal Collaborations: Apple and Google
	11.2 Apple's Inventor Network: One-Mode Network
	11.3 Apple's Inventor-Technology Network: Two-Mode Network
	11.4 Summary
	References
12 Knowledge Acquisition and Assimilation After M&As: Adobe
	12.1 Adobe M&A Activities
	12.2 Inventor Network Analysis as a Proxy of Innovation Assimilation
	12.3 Evolution of Adobe’s Inventor Network
	12.4 Knowledge Diffusion in Design and Technology
	12.5 Summary
	References
13 Learn to Build Design Innovation Team: Samsung Versus LG
	13.1 A Look at Samsung and LG’s Patenting Activities
	13.2 Diversification of Product Innovation
	13.3 Different Structure of Design Team
	13.4 Summary
	References
Part IV Future Developments with AI
14 Is Trademark the First Sparring Partner of AI?
	14.1 The Great Wall: A Trademark Powerhouse
	14.2 How AI Changes Trademarks Searches
	14.3 Use Case: AI-Based Trademark Search for Brand Protection
	14.4 Summary
	References
15 Legal Technologies in Action
	15.1 Background: AI and IP
	15.2 Five AI Applications in IP
		15.2.1 Automatic Classification
		15.2.2 Machine Translation
		15.2.3 Examination and Formality Checks
		15.2.4 Image Search and Recognition
		15.2.5 Helpdesk Bots
	15.3 The Rise of Legal Technology
	15.4 Summary
	References
Afterword