Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm

Zhu, Danyan

doi:10.1108/lht-12-2018-0201

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…Lee (2021) used patent citation analysis to capture the trend of technological innovation associated with libraries. Also, Zhu (2020) proposed a self-organizing map neural network algorithm to quickly retrieve the same or similar patents in a large patent database.…”

Section: Bibliometric and Review Studies On Technologies And Innovationmentioning

confidence: 99%

Editorial: Special selection on bibliometrics and literature review

Chiu¹,

Ho²

2022

LHT

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Section: Bibliometric and Review Studies On Technologies And Innovationmentioning

confidence: 99%

Editorial: Special selection on bibliometrics and literature review

Chiu¹,

Ho²

2022

LHT

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“…GTM-based patent map can project multi-dimensional data space into low-dimensional latent space and vice versa, and patent documents can also be located into the discrete distribution. More importantly, vectors for patent vacuums in the map can be estimated due to the inverse mapping algorithm based on Bayes' theorem [17]. Therefore, GTM-based patent map can overcome the aforementioned limitations because it can automatically detect patent vacuums and interpret them in an objective way.…”

Section: Literature Reviewmentioning

confidence: 99%

“…GTM is an algorithm developed by Bishop et al (1998), a nonlinear mapping methodology using the characteristics of data that map data to a lower dimension in multidimensional space [17]. GTM utilizes latent variables to model various correlations between many variables in the input data [27].…”

Section: Generative Topographic Mappingmentioning

confidence: 99%

Identifying Technology Opportunities for Electric Motors of Railway Vehicles with Patent Analysis

Cho¹,

Han

Hwang

et al. 2021

Sustainability

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An electric motor is a device that changes electrical energy into mechanical energy for railway vehicles. When developing the electric motor, it used to be developed simply for structures or control methods of the motor itself without considering convergence with other devices or technologies. However, as the railway vehicles become more advanced, technology development through convergence with other devices or technologies is spreading. Therefore, based on patent data related to the electric motors applied to the railway vehicles, this research aims to carry out technical forecasting for establishing research and development (R and D) direction for new technologies by predicting vacant technologies from the point of view of technology convergence. In other words, we studied how to find the vacant technologies in a field of convergence technology for the electric motor of the railway vehicles by analyzing the patent data. More specifically, we search the patents data associated with the electric motor of the railway vehicle that contain multiple IPC codes, and use multiple IPC codes to determine the field of convergence technology. In addition, we extract keywords from the patents data related to each of the determined convergence technologies and define the vacant technologies by interpreting the field of convergence technology and the extracted keywords.

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“…However, since direct connection in the citation network does not always guarantee high similarity between patents, we need to expand the scope of the search to include patents with indirect connection. Another group tried to search for prior art based on the similarity of the text in documents such as patents and papers [18][19][20][21]. The advantage of this method is that it can quantitatively assess the degree of similarity.…”

Section: Introductionmentioning

confidence: 99%

Introducing Patents with Indirect Connection (PIC) for Establishing Patent Strategies

2021

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A patent system requires novelty and progressiveness so that new patents do not infringe on the rights of prior art. Patent investigation including a prior art search is essential to the process of commercialization of technology. In general, patent investigation has been conducted by experts based on their qualitative judgement. However, the number of patents has increased so fast that it has become difficult to handle the quantitative burdens of the search with a conventional approach. There have been previous studies dealing with patent investigation to find similar technologies. They had limitations as they did not utilize the citation relationship and similarity between patents in a comprehensive way. In addition, they could not properly reflect the sequential citation relationship of patents though this is effective in discovering similar patents. In this study, we propose an efficient methodology to discover similar technologies by comprehensively considering the similarity and citation relationship between patents. In particular, we intended to reflect the citation sequence and indirect citation relationship in the process of searching for similar patents. For this, we introduced the concept of “patents with indirect connections” (PICs) and devised an algorithm to efficiently detect patent pairs having such a relationship. The proposed methodology of this study contributes to preventing patent litigation in advance by discovering patents with such potential risks. It is expected that this method will provide patent applicants with the opportunity to establish appropriate strategies against competitors with similar technologies. In order to examine the practical applicability of the proposed method, Korean patents related to machine learning and deep learning were collected. As a result of the experiment, it was possible to identify 24 pairs of similar patents without a direct citation relationship and derive appropriate counter strategies.

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Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm

Cited by 9 publications

References 18 publications

Editorial: Special selection on bibliometrics and literature review

Editorial: Special selection on bibliometrics and literature review

Identifying Technology Opportunities for Electric Motors of Railway Vehicles with Patent Analysis

Introducing Patents with Indirect Connection (PIC) for Establishing Patent Strategies

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