Pauline Soutrenon , Aloïs De Valon , Romain Billet , Christophe Lecante , Denis Boulard , Jean-Yves Legendre
{"title":"Analyzing green science-related patents in cosmetics by using artificial intelligence","authors":"Pauline Soutrenon , Aloïs De Valon , Romain Billet , Christophe Lecante , Denis Boulard , Jean-Yves Legendre","doi":"10.1016/j.wpi.2023.102223","DOIUrl":"10.1016/j.wpi.2023.102223","url":null,"abstract":"<div><p>A deep learning-based method was developed to retrieve and analyze patents related to green sciences in cosmetics. An exploratory phase was conducted with five transformer machine learning<span> models on a training set to screen out the most relevant one. A second phase was implemented to fine-tune the selected model by comparing the results generated by the algorithm to the manual scoring done by an expert on a naive set of data. The final model is based on a combination of BERT-like and Longformers models which successively analyze the abstract, the description and the first claim of each patent. A survey of the patent literature with the selected model shows that key information can be obtained regarding the patenting activity in green sciences in cosmetics.</span></p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102223"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44454031","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}
{"title":"A comprehensive analysis of global patent landscape for recent R&D in agricultural drone technologies","authors":"Amy J.C. Trappey, Ging-Bin Lin, Hong-Kai Chen, Ming-Chi Chen","doi":"10.1016/j.wpi.2023.102216","DOIUrl":"10.1016/j.wpi.2023.102216","url":null,"abstract":"<div><p>The rapid development of information technology, along with advanced wireless communication<span><span> technologies, has revolutionized the use of unmanned aerial vehicles (UAVs or drones) in many </span>industries<span><span>. In agriculture, due to the climate change and the growing global population, causing unprecedented demands and risks on food supplies, intelligent and automatic agricultural technologies are critical needs. UAVs offer a wide range of applications to transform traditional agricultural practices into Agriculture 4.0 that integrates advanced technology to optimize agricultural productivity, sustainability, and efficiency. To gain comprehensive insights into the current and future development of agricultural UAVs technologies, this research conducts extensive review and analysis of patents and non-patent literature in the field. By thoroughly examining the literature, the knowledge ontology of ag-UAV technologies is presented. Additionally, comprehensive macro- and micro-patent analyses identify the patenting trends and top tech-leaders for the key technologies related to agricultural drones. Moreover, utilizing regression modeling, technology maturity analysis, and technology-function matrix (TFM), the current and future R&D trends and the cold and </span>hot spots of the technical innovations are identified. Through these detailed patent analyses, the state-of-the-art and potential advancements in agricultural UAV technologies are depicted, serving as crucial intelligence for R&D initiatives and IP strategies.</span></span></p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102216"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47593386","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}
{"title":"Key performance indicators for utility model systems","authors":"Jussi T.S. Heikkilä","doi":"10.1016/j.wpi.2023.102222","DOIUrl":"https://doi.org/10.1016/j.wpi.2023.102222","url":null,"abstract":"<div><p>We suggest key performance indicators (KPIs) that provide a systematic framework to analyse the functioning of utility model (UM) systems. The KPIs are based on a literature review and a content analysis of the webpages of IP offices in countries offering UM protection in 2021. Generally, the IP offices highlight UMs to be shorter, simpler, faster, and cheaper protection methods compared to patents but there are differences how these features are highlighted. The differences between UMs and patents lead to multidimensional sorting as economic agents choose within the IP menu which determine the observed differences in characteristics and outcomes of patents and UMs. National differences call for separate context-dependent KPIs for UM systems.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102222"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49712380","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}
{"title":"Literature listing","authors":"Susan Bates","doi":"10.1016/j.wpi.2023.102211","DOIUrl":"https://doi.org/10.1016/j.wpi.2023.102211","url":null,"abstract":"<div><p>Welcome to the latest quarterly Literature Listing intended as a current awareness service for readers indicating newly published books, journal, and conference articles on IP management; Information Retrieval Techniques; Patent Landscapes; Education & Certification; and Legal & Intellectual Property Office Matters. The current Literature Listing was compiled end-May 2023. Key resources include Scopus, Digital Commons, publishers' RSS feeds, and serendipity! This article gives a selection of interesting references to whet your appetite - the full list of references can be found in the companion datafile.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102211"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49734244","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}
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}
{"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}
{"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}
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}
{"title":"European Patent Office (EPO) en Twitter: A content analysis","authors":"Víctor Herrero-Solana , Cristina Faba-Pérez","doi":"10.1016/j.wpi.2023.102213","DOIUrl":"10.1016/j.wpi.2023.102213","url":null,"abstract":"<div><p>Twitter accounts can be a relevant (in addition to websites) source of information, particularly for studying the public profile of an institution. In this study, a content analysis of the @epoorg account was performed. The description of the EPO on social networks has never been researched thus far. Using the Tractor software, 19,565 tweets were downloaded and uploaded to the Graphext platform, which uses machine learning to perform topic analysis. Twenty main clusters were identified, which, once organized, engendered the following four main content groups: awards, training, events, and thematic. The thematic contents that the EPO addresses include industry 4.0, cancer, COVID-19, battery innovation, clean energy, climate change. The content is balanced: no country stands out.</p></div>","PeriodicalId":51794,"journal":{"name":"World Patent Information","volume":"74 ","pages":"Article 102213"},"PeriodicalIF":2.7,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47360231","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}