Patent Data for Engineering Design: A Critical Review and Future Directions

11/15/2021
by   Shuo Jiang, et al.
0

Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data science present unprecedented opportunities to develop data-driven design methods and tools, as well as advance design science, using the patent database. Herein, we survey and categorize the patent-for-design literature based on its contributions to design theories, methods, tools, and strategies, as well as the types of patent data and data-driven methods used in respective studies. Our review highlights promising future research directions in patent data-driven design research and practice.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/03/2021

Data-Driven Design-by-Analogy: State of the Art and Future Directions

Design-by-Analogy (DbA) is a design methodology wherein new solutions, o...
research
08/09/2020

Prediction Methods and Applications in the Science of Science: A Survey

Science of science has become a popular topic that attracts great attent...
research
05/04/2022

Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions

With the advent of Digital Therapeutics (DTx), the development of softwa...
research
01/20/2022

Automatic Item Generation of Figural Analogy Problems: A Review and Outlook

Figural analogy problems have long been a widely used format in human in...
research
09/28/2021

CateCom: a practical data-centric approach to categorization of computational models

The advent of data-driven science in the 21st century brought about the ...
research
10/15/2020

Deep Generative Modeling in Network Science with Applications to Public Policy Research

Network data is increasingly being used in quantitative, data-driven pub...
research
08/10/2020

Learning to Learn in Collective Adaptive Systems: Mining Design Patterns for Data-driven Reasoning

Engineering collective adaptive systems (CAS) with learning capabilities...

Please sign up or login with your details

Forgot password? Click here to reset