Authors:
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
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Table of contents (15 chapters)
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Front Matter
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Patent as Data
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Front Matter
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Network Analytics
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Front Matter
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Uncover Corporate Innovation with Patent Analytics
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Front Matter
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Future Developments with AI
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Front Matter
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About this book
Keywords
- Network Analysis
- Intellectual Property
- Patent Big Data
- Data Visualisation
- Legal Technology
- Patent Data Visualization
Authors and Affiliations
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Graduate School of Technology and Innovation Management, Hanyang University, Seoul, Korea (Republic of)
Jieun Kim
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Trademark and Design Examination Bureau, Korean Intellectual Property Office, Daejeon, Korea (Republic of)
Buyong Jeong
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Bright College, Hankyong National University, Gyeonggi-do, Korea (Republic of)
Daejung Kim
About the authors
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.
Bibliographic Information
Book Title: Patent Analytics
Book Subtitle: Transforming IP Strategy into Intelligence
Authors: Jieun Kim, Buyong Jeong, Daejung Kim
DOI: https://doi.org/10.1007/978-981-16-2930-3
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-16-2929-7Published: 06 July 2021
Softcover ISBN: 978-981-16-2932-7Published: 07 July 2022
eBook ISBN: 978-981-16-2930-3Published: 06 July 2021
Edition Number: 1
Number of Pages: XXII, 206
Number of Illustrations: 28 b/w illustrations, 117 illustrations in colour
Topics: Business and Management, Business Law, IT Law, Media Law, Intellectual Property