Patent analytics: transforming IP strategy into intelligence

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.

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…