An SAO-based approach to technology evolution analysis using patent information: Case study—graphene sensors

Purpose: This paper introduces an approach to technology evolution analysis using patent information based on Subject-Action-Object(SAO) structures.Design/methodology/approach: First, SAO structures were extracted from patent documents and were cleaned. Second, several dimension-reduction techniques were used to generate technology topics. Then, the hierarchical relationships between technology topics were calculated based on patent clustering. Finally, technology evolution maps were drawn by adding a timeline.Findings: This approach can reveal technology evolution processes from multiple perspectives than other approaches.Research limitations: The semantic annotation of an SAO type is not very accurate and the semantic types of technology topics need to be enriched.Practical implications: The approach can be applied to draw technology evolution maps using different types of technology topics such as problem or solution.Originality/value: This approach offers an analytical dimension and more details than existing techniques, and it helps identify fundamental and emerging technologies more accurately and comprehensively.

The Analysis and Prospect of Development of Fresh Cut Flower Industry Based on the Patent Analysis

Cut flower industry is an important branch of floral industry, characterized by less occupation of lands, high output values per unit area and export capacity.Therefore, it enjoys promising economic profits and development potential. The research conducted relevant analysis on patents of cut flowers at home and abroad,including development trend, regional distribution, applicants, and technology classification. Besides, the research discussed status quo, characteristics, and development trend of cut flower industry, providing references for policy formulation for governments.

Studies of layout of world machine tools industry based on patent analysis

As the foundation of an industrialized country nowadays,machine tools industry is regarded as the engine of industrial development of a country.The developed countries,such as USA,Germany and Japan,have widely deployed the technology of using the patent in order to keep their strength in various fields.This research examins the CNC machine tools industry in the world by using the patent analysis method.It first gives an overview about the world patent application in CNC machine tools industry from 1963 to 2010 and divides the development of the industry into five stages.It also lists the patent application of the world top 20 countries,where the top 5 countries are compared.The patents of the world top 10 companies of machine tools manufacturers are mapped according to the international patent classification(IPC),and the future trends of world machine tools industry are discussed.Finally conclusions and suggestions are presented.

Studies of world carbon fiber industry from a perspective of patent analysis

Patents are the manifestation of the industry R&D endeavor; therefore,World carbon fiber industry from the perspective of patent analysis is studied. Findings from the analysis show a continual increase of carbon fibers patents since 1969,and the growth rate began even faster after the year of 2005. Five countries( Japan,China,US,Germany and Korea) took dominant positions in global carbon fibers R&D,and the sum of patents applied in these five countries accounted for 80% of the total patents in the world. Corporations do play an active role in global carbon fibers R&D,and over 60% of patents were applied by corporations. Among them,the top 3 corporations were all from Japan,which had much more patents than the other patent assignees. Furthermore,most corporations were not active in cooperation with others,except Toyota Motor Corp. Global carbon fibers R&D focused on sheet manufacture cloth,core wire layer,heat connect provide and filter activated draw.And there is big difference between Japan and China in the R&D focus. China's corporations have exhibited rapid growth in the number of patent applications in recent years,but there is still a large gap between China and foreign countries in view of global patent layout and influence. By providing the insight into the evolution of global carbon fibers industrial and technological development through the perspective of patent analysis,this study hopes to provide an objective statistic reference for future policy directions and academic researches.

Research on the Identification of Core Technologies of China’s Pharmaceutical Cold Chain Based on Patent Analysis

Objective To study the identification method that aims at the research and development target and makes the limited resources be optimized.With the frequent occurrence of potential drug safety hazards and the vigorous development of biomedicine,China’s pharmaceutical cold chain is facing huge opportunities and challenges.Under this background,it’s vital to promote the research and development of Chinese pharmaceutical cold chain technology.Methods First,China’s pharmaceutical cold chain patents were sorted out through the literature research method and patent analysis method,de-noises and cleans the data,uses the international patent classification(IPC)numbers as the pharmaceutical cold chain technology.Then,the IPC number co-occurrence matrix was constructed.Third,UCINET was used to visualize,draw the IPC number co-occurrence network.After that,K-cores analysis was applied to initially screen the core technology so as to build a comprehensive evaluation index system to evaluate the core technologies.Finally,Condorcet voting method was used to integrate the evaluation results to identify the core technologies.Results and Conclusion Based on this method,it can provide theoretical guidance for the development and decision-making of Chinese pharmaceutical cold chain enterprises,helping them break through technical barriers and improving the efficiency of Chinese pharmaceutical cold chain logistics.

Research on the Extraction Techniques of Ginseng Based on Patent Analysis

Objective To analyze the gaps between patents of ginseng extraction method in China and South Korea,and to provide research and development directions for Chinese companies.Methods By observing the changes in the amount of patent applications over time,the distribution of application countries and regions,the analysis of applicants,the extraction of technical topics,and the development and change of method,an in-depth discussion on the patent of ginseng extraction method in China and South Korea was conducted.Results and Conclusion China lacks the mastery of advanced technology and the exploration of popular fields,while South Korea is just the opposite of China.Therefore,Chinese enterprises should focus on extraction processes and actively explore new technical fields.

Research on Technology Opportunity Identification of Small and Medium-sized Vaccine Enterprises Based on Patent Analysis

Objective To propose a method for identifying cooperation partners and technology opportunities based on technological similarity and technological capability analysis at the critical moment for the survival of small and medium-sized vaccine companies.This method can provide a direction for small and medium-sized enterprises that lack human and financial resources to make full use of its existing technologies.Methods Data analysis was carried out based on patent data.First,through cosine similarity and patent index evaluation,companies with high technological similarity and strong technological capabilities were selected as the target of cooperation.Then evaluation index system of technological development potential was built from three dimensions:technological competitiveness,technological creativity,and potential for industrialization.AHP-CRITIC method was used to determine the comprehensive development potential of each technology.Finally,technology opportunities based on K-means and text mining were identified.Results and Conclusion This method can help small and medium vaccine companies in China to identify technological opportunities and provide directions for product development.

Comparison of administrative and regulatory green technologies development between China and the U.S.based on patent analysis

With the increasing importance of computer intelligence in the new round of the industrial revolution,administrative,regulatory,or design(ARD)green technology contributes to improving national technological competitiveness and promoting the transformation of green technology,which is becoming an important field under sustainable development goals.The U.S.and China ranked top two in terms of paper influence and patent applications in the field of ARD green technology.However,few comparative studies have been conducted in these two countries.This study presents the evolution and landscapes of ARD green technology between China and the U.S.,focusing on comparing development priorities and technical layouts in each five-year plan period.According to the“International Patent Classification(IPC)Green Inventory”launched by the World Intellectual Property Organization(WIPO),we retrieved 69,412 patents published between 2001 and 2020 from the PatSnap database.Descriptive,content,and thematic network analyses were conducted using latent dirichlet allocation(LDA)and community detection algorithms.The results show that both China and the U.S.strategically focus on ARD green technology development.The technical topics in this field can be divided into three themes:data processing systems,traffic control systems,and building designs.The emphasis on technology research and development(R&D)differs between China and the U.S.There is also evidence that the U.S.has advantages in terms of technological innovation and capabilities.However,China has an advantage in terms of data volume,and the gap between China and the U.S.is gradually narrowing.We also highlight the contributions and limitations of this study.

Analysis of Patents Related to COVID-19-Based on Patent Clustering Model in Specific Fields

Objective To improve the efficiency of patent clustering related to COVID-19 through the topic extraction algorithm and BERT model,and to help researchers understand the patent applications for novel corona virus.Methods The weights of topic vector and BERT model vector were adjusted by cross-entropy loss algorithm to obtain joint vector.Then,k-means++algorithm was used for patent clustering after dimension reduction.Results and Conclusion The model was applied to patents for corona virus drugs,and five clustering topics were generated.Through comparison,it is proved that the clustering results of this model are more centralized and the differentiation between clusters is significant.The five clusters generated are visually analyzed to reveal the development status of patents for corona virus drugs.

Forecasting promising technology using analysis of patent information:Focused on next generation mobile communications

In order to forecast promising technologies in the field of next generation mobile communication, various patent indicators were analyzed such as citation per patent, patent family information, patent share, increase rate, and patent activity. These indicators were quantified into several indexes and then integrated into an evaluation score to provide promising technologies. As a result of the suggested patent analysis, four technologies out of twenty two in details classification were selected, which showed outstanding technology competitiveness, high patent share and increasing rates as well as high recent-patent-ratios and triad-patent-family-ratios. Each of the selected technologies scored more than 10 points in total, and the following four technologies were suggested as promising ones in the field of next generation mobile communication: 1) 3GPP based mobile communication, 2) beyond 4G mobile communication, 3) IEEE 802.16 based mobile communication, which are in medium classification of broadband mobile communication system, and 4) testing/certification system of mobile communication, which is in medium classification of mobile communication testing/certification system.

Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China＇s Agriculture and Influ- encing Factors： Illustrated According to Agricultural Patent Case

Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.

Patent portfolio analysis model based on legal status information

Purpose:This research proposes a patent portfolio analysis model based on the legal status information to chart out a competitive landscape in a particular field,enabling organizations to position themselves within the overall technology landscape.Design/methodology/approach:Three indicators were selected for the proposed model:Patent grant rate,valid patents rate and patent maintenance period.The model uses legal status information to perform a qualitative evaluation of relative values of the individual patents,countries or regions’ technological capabilities and competitiveness of patent applicants.The results are visualized by a four-quadrant bubble chart To test the effectiveness of the model,it is used to present a competitive landscape in the lithium ion battery field.Findings:The model can be used to evaluate the values of the individual patents,highlight countries or regions’ positions in the field,and rank the competitiveness of patent applicants in the field.Research limitations:The model currently takes into consideration only three legal status indicators.It is actually feasible to introduce more indicators such as the reason for invalid patents and the distribution of patent maintenance time and associate them with those in the proposed model.Practical implications:Analysis of legal status information in combination of patent application information can help an organization to spot gaps in its patent claim coverage,as well as evaluate patent quality and maintenance situation of its granted patents.The study results can be used to support technology assessment,technology innovation and intellectual property management.Originality/value:Prior studies attempted to assess patent quality or competitiveness by using either single patent legal status indicator or comparative analysis of the impacts of each indicator.However,they are insufficient in presenting the combined effects of the evaluation indicators.Using our model,it appears possible to get a more complete and objective picture of the current competitive situation.

Analysis of Technical Intelligence of Tumor Cell Therapy Based on Patent Map

Objective To analyze the technical information in the field of tumor cell therapy in China,and to provide reference for identifying technical trends and predicting technical opportunities.Methods Based on the patent data in the field of tumor cell therapy in China,the patent map method was used to construct a scientific technical information analysis model.Then,the technical status of new drug research and development in this field was explored to identify technical opportunities.Results and Conclusion Studies have found that China’s tumor immunotherapy is in the growth stage.The technical innovation regions are mainly distributed in the east and innovative entities are enterprises.Technology hotspots are concentrated in areas such as A61P35,C12N5,and the patented technical efficacy is high.Besides,the technical research and development opportunities identified are closely related to the background in this field.To better promote the development of the industry,enterprises and research institutions should strengthen cooperation in technological innovation Meanwhile,they should pay attention to technical efficacy analysis to identify more technical opportunities,thereby effectively guiding innovation strategic decisions.

Analysis of Strategy for Extending Patent Protection of Rucaparib

As a knowledge-intensive and promising strategic emerging industry, the biomedical industry has high entry thresholds, large R&D investment, long cycle, high risk and high return. In all technical fields, the biomedical industry has the highest dependence on intellectual property rights, and the protection of pharmaceutical intellectual property rights by domestic and foreign biomedical enterprises also runs through the whole process of drug research and development. Extending the patent protection period of drugs as well as forming and strengthening patent fortresses requires a patent network that surrounds drugs to maximize the value of intellectual property protection, which is also the focus of every pharmaceutical company with patent rights. By analyzing the patent portfolio of Clovis Oncology Company in the United States on Rucaparib and the patent portfolio of other companies or applicants on Rucaparib, we can have a clearer understanding of the strategy of extending the patent protection period of a new drug product.

Analysis of Renewable Energy Research Hotspots and Trends Based on Bibliometric and Patent Survey

In recent years,renewable energy has taken on an increasingly important role as a result of the depletion of traditional fossil fuels and the pressure of climate change.Due to the advantages of clean energy production and wide availability,research on renewable energy has increased worldwide.We collected data from the Web of Science and the Derwent Innovations Index to analyze research trends in the field of renewable energy.It was found that the number of research achievements in this field has developed rapidly worldwide since 2005.The United States ranks first in the quantity and quality of literature and fourth in the number of authorized patents.China ranks second and first regarding the quantity of literature and authorized patents,respectively.Biomass energy,wind energy,and solar energy are trending research topics in various stages of development.China has maintained close cooperation with the United States,the United Kingdom,Australia,and other countries.

Building potential patent portfolios: An integrated approach based on topic identification and correlation analysis

Purpose： This paper suggests a framework to identify important patents for building potential patent portfolios based on patents owned by different assignees so as to highlight the value of individual patents in technology transfer and identify potential collaborators for patent assignees. Design/methodology/approach： The analysis framework includes the following steps： l） co-classification analysis based on the International Patent Classification （IPC） codes and Derwent Manual Codes （DMC） to detect sub-tech fields, 2） keyword co-occurrence analysis aiming to understand the core technology information in each patent, and 3） social network analysis used for identifying important technologies and partnerships of key assignees. A case study was conducted with 27,401 chemistry patents filed by a Chinese national research institute. Findings： The results show that this framework is effective in building potential technological patent portfolios based on patents owned by different assignees and identifying future collaborators for the assignees. This integrated approach based on topic identification and correlation analysis that combines network-based analysis with keyword-based analysis can reveal important patented technologies and their connections and help understand detailed technological information mentioned in patents. Research limitations： In keywords analysis, only titles and abstracts of patent documents were used and weights of keywords in different parts of the documents were not considered.Practical implications： The analysis framework provides valuable information for decision- makers of large institutions which have many patents with broad application prospects. Originality/value： Different from previous patent portfolio studies based on the use of a combination of patent analysis indicators, this study provides insights into a method of building patent portfolios to discover the potential of individual patents in technology transfer and promote cooperation among different patent assignees.

Patent analysis provides insights into the history of cotton molecular breeding worldwide over the last 50 years

Cotton is a globally important natural fiber and oilseed crop of crucial economic significance. Molecular breeding has become a dominant method of cotton cultivation because it allows for a shorter breeding period and directional selection of high quality genes. Patent data are key resources and are the core competitiveness of agricultural development, as the world's largest and most reliable source of technical information. However, little attention has been paid to patent analysis of cotton molecular breeding. This study uses bibliometric analysis methodology and technical classification indexing to reveal global development trends of cotton molecular breeding, based on patents by retrieval methods and expert screening. The annual number of patents, the life-cycle of patent-based technology, patent portfolios of primary countries, and main patentees, as well as technical distribution of patents, were analyzed in this study. In addition, this study put emphasis on the comparative analysis of two important patentees through patent roadmaps based on the relationship among patent citations. Finally, in order to understand the trend of new molecular breeding technology, patents related to clustered regularly interspaced short palindromic repeats(CRISPR), RNA interference(RNAi), and gene chip were also analyzed, all of which apply to cotton but also to other crops. Results in this paper can provide references for cotton molecular breeding researchers and relevant management departments.

Patent foramen ovale closure reduces recurrent stroke risk in cryptogenic stroke:A systematic review and metaanalysis of randomized controlled trials

AIM To investigate if patent foramen ovale(PFO) closure device reduces the risk of recurrent stroke in patients with cryptogenic stroke.METHODS We searched five databases-Pub Med,EMBASE,Cochrane,CINAHL and Web-of-Science and clinicaltrials.gov from January 2000 to September 2017 for randomized trials comparing PFO closure to medical therapy in cryptogenic stroke.Heterogeneity was determined using Cochrane's Q statistics.Random effects model was used.RESULTS Five randomized controlled trials with 3440 patients were included in the analysis.Mean follow-up was 50 ± 20 mo.PFO closure was associated with a 41% reduction in incidence of recurrent strokes when compared to medical therapy alone in patients with cryptogenic stroke [risk ratio(RR): 0.59,95%CI: 0.40-0.87,P = 0.008].Atrial fibrillation was higher with device closure when compared to medical therapy alone(RR: 4.97,95%CI: 2.22-11.11,P < 0.001).There was no difference between the two groups with respect to all-cause mortality,major bleeding or adverse events.CONCLUSION PFO device closure in appropriately selected patients with moderate to severe right-to-left shunt and/or atrial septal aneurysm shows benefit with respect to recurrent strokes,particularly in younger patients.Further studies are essential to evaluate the impact of higher incidence of atrial fibrillation seen with the PFO closure device on long-term mortality and stroke rates.

Proposals to Promote the Development of Virtual Reality in China—Based on Patent Econometric Analysis

Virtual reality technology has great potential for development and application space. On the one hand, this paper makes use of the data of Derwent Patent Database to carry out statistical analysis of the information, and analyzes the basic situation of the patent of virtual reality technology. On the other hand, this paper uses the Citespace software to analyze and process the retrieval records, and then obtains the relation of intermediary center, frequency of occurrence, burst term and other related data. According to these data, it analyzes and forecasts the core technologies, cutting-edge and hot technologies of virtual reality, which makes the future development of virtual reality technology more clear. At the same time, combined with the current development of virtual reality, this paper makes recommendations for the future development of China’s virtual reality technology to promote the development of virtual reality industry in China.