Abstract
In addition to technological superiority (functional value), attention to design superiority (semantic value) is increasing as a source of competitiveness in product market. In this research, we have created linked data set of utility patent and design patent information of Japan Patent Office to evaluate the design patent data as a source of understanding design innovation. First, machine learning was performed on a classification model for disambiguating the same person of the inventor/creator using data of patent right and design right applied to the Japanese Patent Office. By interconnecting the inventor's and creator's identifiers estimated by the learned classification model, we identified the design creator who also made the patent invention. Next, an empirical analysis is conducted to characterize the design created by an inventor of utility patent. As a result, about half of design patents are found to be created by the same person who is involved by utility patent. However, the division of labor of designer (a creator of design patent) and engineer (inventor of utility patent) is in progress, particularly for a large firm.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.