Year: 2012
Type: article
Abstract: Patent network analysis, an advanced method of patent analysis, is a useful tool for technology management. This method visually displays all the relationships among the patents and enables the analysts to intuitively comprehend the overview of a set of patents in the field of the technology being studied. Although patent network analysis possesses relative advantages different from traditional methods of patent analysis, it is subject to several crucial limitations. To overcome the drawbacks of the current method, this study proposes a novel patent analysis method, called the intelligent patent network analysis method, to make a visual network with great precision. Based on artificial intelligence techniques, the proposed method provides an automated procedure for searching patent documents, extracting patent keywords, and determining the weight of each patent keyword in order to generate a sophisticated visualization of the patent network. This study proposes a detailed procedure for generating an intelligent patent network that is helpful for improving the efficiency and quality of patent analysis. Furthermore, patents in the field of Carbon Nanotube Backlight Unit (CNT-BLU) were analyzed to verify the utility of the proposed method.
Source: Data Science Journal
DOI: 10.2481/dsj.011-003
Authors: Chao-Chan Wu, Ching-Bang Yao
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $429
Award: G3006427632
OpenAlex ID: W2029646946