Dekorationsartikel gehören nicht zum Leistungsumfang.
Patent Analytics
Transforming IP Strategy into Intelligence
Taschenbuch von Jieun Kim (u. a.)
Sprache: Englisch

64,19 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Aktuell nicht verfügbar

Kategorien:
Beschreibung
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.
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.
Über den Autor

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.

Zusammenfassung

First book on intellectual property for business intelligence, focused on corporate innovation and business value

Offers high-level tutorials and case studies for IP-driven innovation in business by using the text and underlying network of patent documents as the direct objects of data analytics and visualization

Picture book with high-quality figures of patent gazette, screenshots of software, and patent network visualizations with detailed case studies through an easily understandable format

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Management
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 228
Inhalt: XXII
206 S.
28 s/w Illustr.
117 farbige Illustr.
206 p. 145 illus.
117 illus. in color.
ISBN-13: 9789811629327
ISBN-10: 9811629323
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kim, Jieun
Kim, Daejung
Jeong, Buyong
Auflage: 1st ed. 2021
Hersteller: Springer Singapore
Springer Nature Singapore
Maße: 235 x 155 x 13 mm
Von/Mit: Jieun Kim (u. a.)
Erscheinungsdatum: 07.07.2022
Gewicht: 0,353 kg
preigu-id: 122002507
Über den Autor

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.

Zusammenfassung

First book on intellectual property for business intelligence, focused on corporate innovation and business value

Offers high-level tutorials and case studies for IP-driven innovation in business by using the text and underlying network of patent documents as the direct objects of data analytics and visualization

Picture book with high-quality figures of patent gazette, screenshots of software, and patent network visualizations with detailed case studies through an easily understandable format

Inhaltsverzeichnis
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.
Details
Erscheinungsjahr: 2022
Fachbereich: Management
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 228
Inhalt: XXII
206 S.
28 s/w Illustr.
117 farbige Illustr.
206 p. 145 illus.
117 illus. in color.
ISBN-13: 9789811629327
ISBN-10: 9811629323
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kim, Jieun
Kim, Daejung
Jeong, Buyong
Auflage: 1st ed. 2021
Hersteller: Springer Singapore
Springer Nature Singapore
Maße: 235 x 155 x 13 mm
Von/Mit: Jieun Kim (u. a.)
Erscheinungsdatum: 07.07.2022
Gewicht: 0,353 kg
preigu-id: 122002507
Warnhinweis

Ähnliche Produkte

Ähnliche Produkte