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Patent analyticstransforming IP stra...

Jeong, Buyong.

Patent analyticstransforming IP strategy into intelligence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Patent analyticsby Jieun Kim, Buyong Jeong, Daejung Kim.
Reminder of title:	transforming IP strategy into intelligence /
Author:	Kim, Jieun.
other author:	Jeong, Buyong.
Published:	Singapore :Springer Singapore :2021.
Description:	xxii, 206 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	PatentsData processing.
Online resource:	https://doi.org/10.1007/978-981-16-2930-3
ISBN:	9789811629303$q(electronic bk.)

Patent analyticstransforming IP strategy into intelligence /
Kim, Jieun.

Patent analyticstransforming IP strategy into intelligence /[electronic resource] :by Jieun Kim, Buyong Jeong, Daejung Kim. - Singapore :Springer Singapore :2021. - xxii, 206 p. :ill., digital ;24 cm.

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 -- 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 -- 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.

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.

ISBN: 9789811629303$q(electronic bk.)

Standard No.: 10.1007/978-981-16-2930-3doiSubjects--Topical Terms:

226772
Patents
--Data processing.

LC Class. No.: T211

Dewey Class. No.: 608

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520 $a 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.
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