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1.
    
This study uses 'tech mining' (extracting intelligence from R&D data) to validate and refine the content of a particular section of a landmark roadmap of nanotechnology for aeronautics. We utilize topical content from publications and patents to analyze the developmental status of nanocomposite coating technologies. This enables us to validate predictions made by specialists, as presented in the target technology roadmap section. Moreover, we augment that roadmap section by providing additional information on nanocomposite-related emerging technologies. This study supports use of tech mining as a means to inform technology roadmapping, both when creating a new roadmap and to check progress.  相似文献   

2.
    
We introduce a new, bespoke data structure to analyze and visualize the evolution of a technology. The technology under analysis is defined by a set of patents corresponding to a technical field, owned by a company or invented by a team of research. Our data structure, the Dynamic Technology Footprint –DTFootprint–, facilitates the analysis and visualization of trends and dynamics of a given technology, and therefore the evolution of a technical field, a company, or a team of people. A graphical tool based on our data structure is defined, it is named Technology Spectrogram –TechSpectrogram–, because it is inspired by the acoustic frequency spectrograms: as the acoustic frequency spectrograms visualize the dynamics of an acoustic wave showing the evolution of its frequency components our tool shows the dynamics of a technology showing the evolution of its technological components, which are represented by the whole set of IPC-codes. Our graphical tool, the TechSpectrogram is shown for some study cases, and its application to the history of technology and technology management are disclosed.  相似文献   

3.
    
This paper introduces a new measure of patent value – Maintenance Renewal Score (MRSc) – reflecting assignee valuing the patent by paying successive renewal fees. We generate MRSc's for nanotechnology patents issued by the US Patent Office from 1999 through 2009, with US assignees and US inventors. Patenting increases over this period, coincident with increased US funding of nanotechnology R&D. We compare maintenance rates over the period, and against a comparison set of all 1999 USPTO grants to US inventors/assignees. We find differences in propensity to maintain the nanopatents by institution type, technological sector, and patent complexity.  相似文献   

4.
Technology transfer (TT) is gaining popularity in the developing countries, but there exist barriers impeding the transfer. Technology intermediaries are believed to be able to mitigate such barriers in the literature, which however seldom considers patent attorneys. We contribute to the extant literature by highlighting that patent attorneys could facilitate TT, particularly in the developing countries (e.g., China). We propose a model to specify how patent attorneys can leverage their expertise and resource to motivate technology players to engage in TT, to identify the potential supply and demand of TT as well as to establish comprehensive IPR protection for TT.  相似文献   

5.
    
This work introduces a deep learning pipeline for automatic patent classification with multichannel inputs based on LSTM and word vector embeddings. Sophisticated text mining methods are used to extract the most important segments from patent texts, and a domain-specific pre-trained word embeddings model for the patent domain is developed; it was trained on a very large dataset of more than five million patents. The deep learning pipeline is using multiple parallel LSTM networks that read the source patent document using different input dimensions namely embeddings of different segments of patent texts, and sparse linear input of different metadata. Classifying patents into corresponding technical fields is selected as a use case. In this use case, a series of patent classification experiments are conducted on different patent datasets, and the experimental results indicate that using the segments of patent texts as well as the metadata as multichannel inputs for a deep neural network model, achieves better performance than one input channel.  相似文献   

6.
    
This research develops a computer-supported ontology-based Technology Function Matrix (TFM) construction method, called eTFM, as an approach to reduce technology mining man-power and enhance the accuracy and consistency of patent analysis results. The paper addresses a rarely discussed issue of the TFM validation. The proposed validation approach compares the TFMs construction based on both on the domain ontology and the International Patent Classification (IPC) classes. The research demonstrates the methodology's practical applications using the patent analysis case of cyber physical system (CPS), an essential core technology enabling advanced manufacturing and Industry 4.0.  相似文献   

7.
    
This study empirically analyzes the effects of artificial intelligence (AI) on electric vehicle technology innovation by employing a machine learning-based text mining model and the international patent classification (IPC) co-occurrence network analysis, using patent data filed from 1980 to 2017. Based on artificial intelligence algorithms classified, the study demonstrates the dynamic changing pattern of the convergence of artificial intelligence and electric vehicle technology and reveals how artificial intelligence has affected electric vehicle technology innovation over time. This study reveals that artificial intelligence accelerates the automation of electric vehicle driving, and that artificial intelligence algorithms that are widely used in electric vehicles have changed over time, and that technology areas of electric vehicles that AI affects also have been changed.  相似文献   

8.
This paper aims to depict a new usage of patent analytics on a corporate level mitigating the gap between strategy (technology policy making) and operational activities (R&D program development and actualisation).The approach proposed for such mitigation is based on three techniques enriching patent analytics practical implementation:1) knowledge modelling techniques;2) deep technical analysis based on knowledge model;3) ‘insight-driven analytics’ approach.Such three techniques aim to facilitate the implementation of PL in the company's technology management processes.The paper contains examples related to oil & gas, transport, and water treatment industries.  相似文献   

9.
《中国测试技术》是我国测试技术领域重要期刊之一,文章以“中国核心期刊遴选数据库”中2001年-2006年的论文引文数据作为样本,采用文献计量学的统计方法对《中国测试技术》2001年-2006年的载文、作者、引文、被引等指标进行统计分析,反映了该刊6年来学术水平的进展情况。  相似文献   

10.
This study attempts to identify the areas of technological strength of the province of Saskatchewan, Canada, whose economy is heavily based on natural resources, by analyzing patent information. 606 US patents held by Saskatchewan organizations were identified. The results show that inventive activities are steadily growing and Saskatchewan’s technological development has experienced three stages. The Initial stage (1971–1985) was dominated by traditional resource-based technologies; the Emerging stage (1986–1995) was characterized by the emergence of new technologies in the Drugs & Medical field; and the Developing stage (1996–2009) was marked by more of a balance between traditional and new technologies. In Canada and worldwide, inventive activities in Computers & Communication field have been most prominent since the last decade. However, Saskatchewan demonstrates a different path from the rest of the world. While traditional technological fields still dominate in the province, it is gradually building its strength in the Drugs & Medical field. The results present a possibility to diversify the provincial economy if policy makers develop strategies to facilitate the transfer of new technologies to industries.  相似文献   

11.
    
Patent document collections are an immense source of knowledge for research and innovation communities worldwide. The rapid growth of the number of patent documents poses an enormous challenge for retrieving and analyzing information from this source in an effective manner. Based on deep learning methods for natural language processing, novel approaches have been developed in the field of patent analysis. The goal of these approaches is to reduce costs by automating tasks that previously only domain experts could solve. In this article, we provide a comprehensive survey of the application of deep learning for patent analysis. We summarize the state-of-the-art techniques and describe how they are applied to various tasks in the patent domain. In a detailed discussion, we categorize 40 papers based on the dataset, the representation, and the deep learning architecture that were used, as well as the patent analysis task that was targeted. With our survey, we aim to foster future research at the intersection of patent analysis and deep learning and we conclude by listing promising paths for future work.  相似文献   

12.
    
We examined the overall trends in biometric technology based on patent documents. Using PATSTAT database, we extracted 37,462 patent documents applied at the Big Five patent offices between 1990 and 2016. Latent Dirichlet allocation was applied to their abstracts to observe annual trends by topic. Our results are as follows: Fingerprint-enabled car anti-theft systems have been undergoing rapid technological development since 2014. In response, biometric signal transmitting models are becoming popular owing to concerns about theft of biometric templates. While fingerprint, face, and iris authentication technologies continue to advance, finger vein, voice, and signature authentication technologies are lagging. Use of biometric technologies in financial transactions, server networks, and digital media content security are decreasing as well. A citation analysis discovered key topics and patent applicants: Surprisingly, the quantitative growth rate of topics and the effect on the knowledge network showed an inverse relationship. US firms had the most citations, but fewer backward citations of own work, unlike Japanese companies. We provide practical insights to stakeholders of biometric technology.  相似文献   

13.
    
Studying the distribution of the patent cooperation networks from the perspective of assignees provides a very important reference to improve the analysis of the market situation, master the layout of industrial technology and seek partners or mergers and acquisitions. This study uses the Derwent patent database and the patent metric approach to investigate the cooperative network structure of the assignees. The overall patent output in the artificial intelligence field on a global scale exhibited a rapid growth, and the proportion of cooperative patents significantly increased; the cooperation structure between the assignees was loose, and the innovation efficiency was low.  相似文献   

14.
The q-mode problem is a combinatorial optimization problem that arises in the context of partitioning a given collection of data vectors with categorical attributes. A neighborhood search algorithm is proposed for solving the q-mode problem. This algorithm is based on a very large scale neighborhood that is implicitly searched using network flow techniques. The algorithm is evaluated through a computational experiment using randomly generated instances. The results show that in general this algorithm obtains very-good-quality local optima, and that in instances with strong natural clusters the algorithm consistently finds optimal or near-optimal solutions.  相似文献   

15.
Currently there is a debate in the field of nanotechnology about the evolving IP landscape and its impact on innovative progress based on technological discovery in the future. Nevertheless, nanotechnology patents will serve as an important securitization instrument for future financing and business strategic purposes. Valuation know-how of nanotechnology patents will therefore become critical in deal-making and in bringing about innovation. Like many innovative products today, nanotechnology enabled products also consist of a multitude of patented technological components from different stages in a value chain and belonging to a multitude of owners. Complex IP landscapes along entire value chains give rise to a tendency to over-value one’s own patented technology from an ex-ante and individual company’s perspective. Thus the sum of individually estimated values of patented technology can exceed the value that can be realized ex-post in a given value chain. We extend current valuation considerations of patented technology from a static perspective to include a dynamic view using nanotechnology as an example. Furthermore, in addition to single value chain stages as a level of analysis (level A) we also take into account the complex technology landscapes in entire value chains (level B) as well as patented technologies’ potential value in different current or future value chains (level C). We derive conclusions with respect to valuation approaches for the discussed levels of analysis from a static and dynamic perspective.  相似文献   

16.
    
In English patent document information retrieval, Multi Word Terms (MWTs) are an important factor in determining how relevant a patent document is for a particular search query. Detecting the correct boundaries for these MWTs is no trivial task and often complicated by the special writing style of the patent domain. In this paper we describe a method for detecting MWTs in patent sentences based on a method for detecting technical entities using deep learning. On our annotated dataset of 22 patents, our method achieved an average precision of 0.75, an average recall of 0.74 and an average F1 score of 0.74. Further, we argue for the use of domain specific word embedding resources and suggest that our model mostly learns whether individual words should be included in MWTs or not.  相似文献   

17.
Patent databases are a counterpart of a technical encyclopedia providing a valuable informational source from patent documents. Patents apply to a wide variety of uses, and this is expanding. The increasing kinds of users of patent documents result in a lack of educational programs regarding this matter. This paper describes Patent2Net (P2N) a patentinformatic suite whose purpose is to fill the lack in the academic world (education and research) of a tool to use with students (STEM, Masters, PhD), by valuation services and for defining corpuses for research in general patent analysis, specifically on textual content. P2N is a free open-source modular, scalable, customizable and derivable tool, written in the python language. We present here the main functions of the tool and the technical aspects after discussing the skills to be reached by students for state of the art patent analysis.  相似文献   

18.
    
Sugarcane propagation technologies have, in recent years, been the focus of interest of large corporations involved in the sugar and ethanol business. The objective of this study is to present the methodology used to identify the technology domain found in different sugarcane propagation technologies. The methodology was based on the bibliometric analysis of patents, including a meticulous selection of the most representative technologies used by the sugarcane market and the application of patent citation. The results report the process developed to identify a novel technology domain of high complexity involving different fields of science resulting in a set of sugar cane propagation technologies and show that the main technology advances have happened in the last decade (2005–2015), especially in seedling containers and the use of chemical compounds for seedling treatment. Further studies are recommended to help understand how these new technologies will impact the sugarcane production-chain in Brazil.  相似文献   

19.
杨雪  魏风军 《包装学报》2024,16(2):31-38
为探究全球聚羟基烷酸酯(PHA)研究的学者科研合作紧密度、时空特征和未来趋势,基于文献计量可视化分析软件CiteSpace,以Web of Science(WoS)数据库为数据源,对 2013-2022 年收录的论文进行学者科研合作的归纳分析.研究结果表明:2013-2022 年聚羟基烷酸酯研究的科研合作紧密度较小,全球范围的合作较为松散,合作关系存在明显的个人、机构和地缘指向特征,合作关系表现出\"强强合作\"的特征,并且合作机构以高校为主,其中实力雄厚的研究机构发文量相对也较高;发文量最多的国家依次是中国、印度、美国、意大利和西班牙,其中美国的发文量虽高,但研究者人数较少,成果基本集中于部分高产研究者.今后,研究者不仅要注重地区之间的合作,还应注意学科之间的合作,跨地域、跨学科可以增加研究驱动力.  相似文献   

20.
    
The emergence of Non-Practicing Entities (“NPEs”) influences patent market dynamics. Based on a database of NPE activities from 1996 to 2010, this paper attempts to investigate these influences in view of NPEs' heterogeneity. We found NPEs with prominent R&D involvements can integrate knowledge from the innovation and patent markets, and might therefore generate valuable patents and facilitate effective technology transfer. Hence, when compared with NPEs without any R&D involvement, R&D-performing NPEs appeared able to monetize their patents without resorting to excessive litigation. Thus, different NPEs could exert different influences and drive patent market dynamics in their own respective ways.  相似文献   

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