World Patent Information最新文献_第8页

Literature listing 文献清单

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102211

Susan Bates

引用次数: 0

Relationship between industry 4.0 and patents 工业4.0与专利的关系

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102221

Luciana Peixoto Santa Rita , Luciana Santos Costa Vieira da Silva , Fabíola Kaczam , Maria Joseane Felipe Guedes Macêdo , Álvaro Fabiano Pereira de Macêdo , Wesley Vieira da Silva , Claudimar Pereira da Veiga

{"title":"Relationship between industry 4.0 and patents","authors":"Luciana Peixoto Santa Rita , Luciana Santos Costa Vieira da Silva , Fabíola Kaczam , Maria Joseane Felipe Guedes Macêdo , Álvaro Fabiano Pereira de Macêdo , Wesley Vieira da Silva , Claudimar Pereira da Veiga","doi":"10.1016/j.wpi.2023.102221","DOIUrl":"10.1016/j.wpi.2023.102221","url":null,"abstract":"<div><p>Patent statistics have been widely used to assess the competitive position in various technological domains, both at the level of companies and countries. In the literature, there is a gap related to studies that highlight the importance of patents as a strategic instrument in the context of industry<span> 4.0 technologies. In this context, the present article seeks to fill this gap by presenting a conceptual and empirical framework based on a systematic literature review<span> (SLR) to analyze the relationship between patents and industry 4.0. For this purpose, 958 studies published in journals listed in the Web of Science and Scopus databases were selected. Patent analysis refers to examining various features of technological progress and innovation activities that characterize a given industrial or technological domain. This relationship points to the importance of patenting, as the literature review results showed an increase in patenting activity related to Industry 4.0. This study reinforces that patent analysis refers to the examination of various characteristics of technological progress and that innovation activities characterize a particular industrial or technological domain. This article also contributes to the patents and industry 4.0 fields by presenting the state of the art of this relationship and directing future research.</span></span></p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102221"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43986595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Text mining method to identify artificial intelligence technologies for the semiconductor industry in Korea 识别韩国半导体行业人工智能技术的文本挖掘方法

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102212

Insu Cho, Yonghan Ju

{"title":"Text mining method to identify artificial intelligence technologies for the semiconductor industry in Korea","authors":"Insu Cho, Yonghan Ju","doi":"10.1016/j.wpi.2023.102212","DOIUrl":"10.1016/j.wpi.2023.102212","url":null,"abstract":"<div><p><span>Semiconductors are among the most important core technologies contributing to the Fourth Industrial Revolution. The United States, Taiwan, and China have been investing heavily in semiconductor research and development. To achieve international competitiveness in the semiconductor industry<span><span>, Korea needs to establish a research and development (R&D) roadmap for small- and medium-sized enterprises (SMEs). Our study identified trends in the semiconductor industry by analyzing the characteristics of core technologies based on patents that disclose technologies instead of holding exclusive ownership. Specifically, we analyzed registered patents concerned with artificial intelligence and </span>machine learning<span><span> pertaining to the semiconductor industry, which are attracting considerable attention. Using the Korea Intellectual Property Rights Information Service database, we identified 3569 patent specifications related to AI technology and the semiconductor industry. The text mining and </span>network analysis<span> results indicated that the application of deep neural networks is the most important and affects various aspects of R&D. Particularly, AI technology is actively studied for monitoring manufacturing and etch processes. Additionally, technology convergence among virtual reality, visualization, smart factories, and etching technology was identified. The analysis results identify promising technologies related to semiconductors and provide insights that would enable SMEs in the Korean semiconductor industry to establish a </span></span></span></span>technology roadmap.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102212"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41754923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation and comparison of domestic and foreign patent portfolios based on F-term on optical lenses of competitors 基于竞争对手光学镜片f项的国内外专利组合评价与比较

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102208

Kuo-tsan Liu, Ting-Chun Chen

{"title":"Evaluation and comparison of domestic and foreign patent portfolios based on F-term on optical lenses of competitors","authors":"Kuo-tsan Liu, Ting-Chun Chen","doi":"10.1016/j.wpi.2023.102208","DOIUrl":"10.1016/j.wpi.2023.102208","url":null,"abstract":"<div><p>This paper evaluates domestic and foreign patent portfolios owned by ten top competitors in Japan on the optical lenses of digital cameras. The objective is to establish an efficient and simple tool to provide an enterprise with the ability to investigate its competing position in order to identify its favorable research and development directions and enhance its patent application strategy.</p><p>The method is to use three quantitative indicators defined by patent classifications, especially the Japanese patent classification F-term. The indicators represent the technical value of a single invention, between multiple inventions, and all inventions, respectively. Comparison of all aspects of values between Japanese and US patent portfolios are presented on two-dimensional maps.</p><p>The evaluations show the performance of competitors and obtain the advisements of patent application strategy for an individual company. The results show that Jaccard index based on F-term is a very good tool for calculating the similarity between patents to obtain innovativeness. All indicators show that the thinking of Japanese competitors in R&D and patent filing strategies have high similarity, and there is currently no breakthrough between all competitors. The multi-viewpoint F-term system has resulted in Japanese companies having a large number of patents in a relatively closed environment.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102208"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48035902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Brazilian Atlantic Forest genetic resources in patents and the challenges to control the economic use of biodiversity 巴西大西洋森林专利中的遗传资源和控制生物多样性经济利用的挑战

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102218

Celise Villa dos Santos , Fábio Mascarenhas e Silva , Leandro Innocentini Lopes de Faria

{"title":"The Brazilian Atlantic Forest genetic resources in patents and the challenges to control the economic use of biodiversity","authors":"Celise Villa dos Santos , Fábio Mascarenhas e Silva , Leandro Innocentini Lopes de Faria","doi":"10.1016/j.wpi.2023.102218","DOIUrl":"10.1016/j.wpi.2023.102218","url":null,"abstract":"<div><p><span>The Atlantic Forest is the Brazilian biome with the greatest variety of </span>plant species<span><span>. Despite the potential of resources that can be used in the development of products and technologies, several species are imminently threatened with extinction. This study analyzes the technologies developed with native species of the Atlantic Forest, and their holders, using patent analysis. It also investigates methodological restrictions and gaps in information sources to relate the use of genetic resources to patented technologies, and also relates the use of these resources to the production and commercialization of products. We found that 92% of patents with native flora of the Atlantic Forest were developed and filled outside </span>Brazil<span>. The patents are mainly in the areas of agriculture livestock, medical or cosmetic preparations, food and beverages, and water, sewage, or waste treatment. The procedures for examining applications for patents, and control procedures for accessing biodiversity have limitations in identifying and monitoring the origin of genetic resources. The lack of transparent access to biodiversity results in the patent analysis as one of the main strategies used to evaluate the misappropriation of traditional knowledge associated with genetic resources, since patents have descriptive details of inventions and worldwide publicity.</span></span></p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102218"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48661461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

European Patent Office (EPO) en Twitter: A content analysis 欧洲专利局推特：内容分析

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102213

Víctor Herrero-Solana , Cristina Faba-Pérez

引用次数: 0

Patent image retrieval using transformer-based deep metric learning 基于transformer的深度度量学习的专利图像检索

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102217

Kotaro Higuchi, Keiji Yanai

引用次数: 0

Comparison of characteristics of patent applications among regions in Japan where patent applications are increasing 日本专利申请增加地区间专利申请特征比较

IF 2.7

World Patent Information Pub Date : 2023-09-01 DOI: 10.1016/j.wpi.2023.102220

Shunji Suzuki

引用次数: 0

Why firms do (not) use design rights to protect innovation: A literature review 企业为什么（不）使用设计权来保护创新：文献综述

IF 2.7

World Patent Information Pub Date : 2023-06-01 DOI: 10.1016/j.wpi.2023.102175

Doris Schartinger

引用次数: 1

From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach 从零散资源到综合技术景观:基于推荐的检索方法

IF 2.7

World Patent Information Pub Date : 2023-06-01 DOI: 10.1016/j.wpi.2023.102198

Chi Thang Duong , Dimitri Perica David , Ljiljana Dolamic , Alain Mermoud , Vincent Lenders , Karl Aberer

{"title":"From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach","authors":"Chi Thang Duong , Dimitri Perica David , Ljiljana Dolamic , Alain Mermoud , Vincent Lenders , Karl Aberer","doi":"10.1016/j.wpi.2023.102198","DOIUrl":"https://doi.org/10.1016/j.wpi.2023.102198","url":null,"abstract":"<div><p>Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffective and incomplete approach. In this work, we propose an end-to-end recommendation based retrieval approach to support automatic retrieval of technologies and their associated companies from raw Web data. This is a two-task setup involving (i) technology classification of entities extracted from company corpus, and (ii) technology and company retrieval based on classified technologies. Our proposed framework approaches the first task by leveraging DistilBERT which is a state-of-the-art language model. For the retrieval task, we introduce a recommendation-based retrieval technique to simultaneously support retrieving related companies, technologies related to a specific company and companies relevant to a technology. To evaluate these tasks, we also construct a data set that includes company documents and entities extracted from these documents together with company categories and technology labels. Experiments show that our approach is able to return 4 times more relevant companies while outperforming traditional retrieval baseline in retrieving technologies.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"73 ","pages":"Article 102198"},"PeriodicalIF":2.7,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49714814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1