scholarly journals Geocoding of worldwide patent data

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Gaétan de Rassenfosse ◽  
Jan Kozak ◽  
Florian Seliger
Keyword(s):  
Patent Data ◽  
Patent Document ◽  
Fine Grained ◽  
Patent Family ◽  
Patent Documents ◽  
Geocoded Data ◽  
Patenting Activity

Abstract The dataset provides geographic coordinates for inventor and applicant locations in 18.8 million patent documents spanning over more than 30 years. The geocoded data are further allocated to the corresponding countries, regions and cities. When the address information was missing in the original patent document, we imputed it by using information from subsequent filings in the patent family. The resulting database can be used to study patenting activity at a fine-grained geographic level without creating bias towards the traditional, established patent offices.

scholarly journals TECHNIQUES FOR DEVELOPING PATENT DOCUMENTS FOR INVENTION

2018 ◽  
Author(s):  
erika stacia marsailis
Keyword(s):  
Law Enforcement ◽  
Data Processing ◽  
Patent Document ◽  
Specific Knowledge ◽  
Patented Invention ◽  
Legal Expert ◽  
Patent Documents

To be able to register a patent for his findings, an expert must be able to compile a patent document. Specific knowledge and expertise is needed to prepare patent documents. The parts of the patent document that must be compiled consist of: Title of the Invention, Field of Engineering Invention, Background of the Invention, Brief Description of the Invention, Complete Description of the Invention, Claims and Abstracts. In the preparation of claims it is recommended to consult a legal expert, so that the meaning of the language of the claim is in accordance with the terminology commonly used in law enforcement. This claim will later become the basis of prosecution in the court when a patented invention is imitated or produced by a person or body that is not permitted by the inventor.This can happen because there is no integration between the financial and administrative departments so that the presentation of the report is not the same. For this reason, the need for a network-based system proposal to support data processing of cash receipts and disbursements so that the presentation of reports can be done in a structured manner.

scholarly journals MEXN: Multi-Stage Extraction Network for Patent Document Classification

2020 ◽  
Vol 10 (18) ◽  
pp. 6229
Author(s):  
Juho Bai ◽  
Inwook Shim ◽  
Seog Park
Keyword(s):  
State Of The Art ◽  
Document Classification ◽  
Patent Document ◽  
Current State ◽  
Multi Stage ◽  
Computing Performance ◽  
Classification Tasks ◽  
Patent Documents ◽  
Fixed Input ◽  
Different Content

The patent document has different content for each paragraph, and the length of the document is also very long. Moreover, patent documents are classified hierarchically as multi-labels. Many works have employed deep neural architectures to classify the patent documents. Traditional document classification methods have not well represented the characteristics of entire patent document contents because they usually require a fixed input length. To address this issue, we propose a neural network-based document classification for patent documents by designing a novel multi-stage feature extraction network (MEXN), which comprise of paragraphs encoder and summarizer for all paragraphs. MEXN features analysis of the whole documents hierarchically and providing multi-labels outputs. Furthermore, MEXN preserves computing performance marginally increase. We demonstrate that the proposed method outperforms current state-of-the-art models in patent document classification tasks with multi-label classification experiments for USPD datasets.

scholarly journals Drafting Assistance On Traditional Jamu UMKM

2020 ◽  
Vol 3 (2) ◽  
pp. 57-61
Author(s):  
Wahyuning Murniati
Keyword(s):  
Intellectual Property ◽  
Herbal Medicine ◽  
Cancer Cells ◽  
Health Sector ◽  
Patent Document ◽  
Traditional Herbal Medicine ◽  
Patent Documents ◽  
Protecting Intellectual Property

Patent Drafting is a method for preparing patent documents. As it is known, UMKM Jamu is engaged in the health sector by producing traditional herbal medicine which is believed to be effective in preventing the growth of cancer cells and various other diseases. UMKM located in Wonorejo Village, Lumajang Regency, need patent drafting assistance for the preparation of patent documents. Therefore, this assistance is carried out with the aim of providing understanding to the UMKM Jamu Ibuk producers regarding patents. The output of this activity is a patent document ready to register. With this activity, it is hoped that it can provide thoughts on the importance of protecting Intellectual Property for MSMEs and the wider community.

scholarly journals Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017 (Preprint)

2019 ◽  
Author(s):  
Ming Huang ◽  
Maryam Zolnoori ◽  
Joyce E Balls-Berry ◽  
Tabetha A Brockman ◽  
Christi A Patten ◽  
...  
Keyword(s):  
United States ◽  
Resource Allocation ◽  
Disease Management ◽  
Research And Development ◽  
Biomedical Research ◽  
Malignant Neoplasm ◽  
The United States ◽  
Technological Innovations ◽  
Patent Data ◽  
Patent Documents

BACKGROUND Patents are important intellectual property protecting technological innovations that inspire efficient research and development in biomedicine. The number of awarded patents serves as an important indicator of economic growth and technological innovation. Researchers have mined patents to characterize the focuses and trends of technological innovations in many fields. OBJECTIVE To expand patent mining to biomedicine and facilitate future resource allocation in biomedical research for the United States, we analyzed US patent documents to determine the focuses and trends of protected technological innovations across the entire disease landscape. METHODS We analyzed more than 5 million US patent documents between 1995 and 2017, using summary statistics and dynamic topic modeling. More specifically, we investigated the disease coverage and latent topics in patent documents over time. We also incorporated the patent data into the calculation of our recently developed Research Opportunity Index (ROI) and Public Health Index (PHI), to recalibrate the resource allocation in biomedical research. RESULTS Our analysis showed that protected technological innovations have been primarily focused on socioeconomically critical diseases such as “other cancers” (malignant neoplasm of head, face, neck, abdomen, pelvis, or limb; disseminated malignant neoplasm; Merkel cell carcinoma; and malignant neoplasm, malignant carcinoid tumors, neuroendocrine tumor, and carcinoma in situ of an unspecified site), diabetes mellitus, and obesity. The United States has significantly improved resource allocation to biomedical research and development over the past 17 years, as illustrated by the decreasing PHI. Diseases with positive ROI, such as ankle and foot fracture, indicate potential research opportunities for the future. Development of novel chemical or biological drugs and electrical devices for diagnosis and disease management is the dominating topic in patented inventions. CONCLUSIONS This multifaceted analysis of patent documents provides a deep understanding of the focuses and trends of technological innovations in disease management in patents. Our findings offer insights into future research and innovation opportunities and provide actionable information to facilitate policy makers, payers, and investors to make better evidence-based decisions regarding resource allocation in biomedicine.

Self-Centric and Altruistic Unmet Needs for Ebola: Barriers to International Preparedness

2016 ◽  
Vol 10 (4) ◽  
pp. 644-648 ◽  
Author(s):  
Linda H.M. Van de Burgwal ◽  
Leslie A. Reperant ◽  
Albert D.M.E. Osterhaus ◽  
Sorana C. Iancu ◽  
Esther S. Pronker ◽  
...  
Keyword(s):  
Value Chain ◽  
Unmet Needs ◽  
Unmet Need ◽  
Patent Document ◽  
Chi Square ◽  
Engagement Strategies ◽  
Patent Family ◽  
Chi Square Test ◽  
Geographic Regions ◽  
And Control

AbstractObjectiveBarriers to international Ebola preparedness may be elucidated by identifying heterogeneities in arguments to invest in countermeasures during “peace time.”MethodsFor each patent family (related patent documents that differed only by limited alterations to the same invention) concerning Ebola and published until the end of 2014 the oldest patent document was analyzed. Grounded theory coding identified 5 unmet needs for (1) vaccines and therapies, (2) control of outbreaks in endemic areas, (3) detection and control of outbreaks in nonendemic areas, (4) better understanding of filoviruses, and (5) protection against bioterrorism. Odds ratios for unmet needs by geographic regions and institution types were compared by using Pearson’s chi-square test.ResultsStatistically significant heterogeneities in unmet need profiles were found. US applicants combined self-centric and altruistic arguments, focusing on medical unmet needs and bioterrorism protection. Russian and Asian applicants emphasized self-centric motives, specifically, detection and control of nonendemic outbreaks. A clear, statistically significant mismatch between industry and academia was found: whereas industrial applicants focused on bioterrorism and neglected detection and control of nonendemic outbreaks, academic applicants did the opposite.ConclusionsThis research identified heterogeneities in articulated needs between geographic regions and stakeholder types. Structural articulation of unmet needs may form the basis for attuning stakeholder engagement strategies while progression across the demand-driven value chain might necessitate international concordance. (Disaster Med Public Health Preparedness. 2016;10:644–648)

scholarly journals Patent Keyword Analysis using Time Series and Copula Models

2019 ◽  
Vol 9 (19) ◽  
pp. 4071 ◽  
Author(s):  
Kim ◽  
Yoon ◽  
Hwang ◽  
Jun
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Patent Data ◽  
Analysis Model ◽  
Copula Models ◽  
Keyword Analysis ◽  
Logit Function ◽  
Patent Documents ◽  
Major Factors ◽  
Over Time

The technological keywords extracted from patent documents have much information about a developed technology. We can understand the technological structure of a product by examining the results of patent analysis. So far, much research has been done on patent data analysis. The technological keywords of patent documents contain representative information on the developed technology. As such, the patent keyword is one of the most important factors in patent data analysis. In this paper, we propose a patent data analysis model combining a integer valued time series model and copula direction dependence for integer valued patent keyword analysis over time. Most patent keywords are frequency values and keywords often change over time. However, the existing patent keywords analysis works do not account for two major factors: integer value and time. For modeling integer valued keyword data with time factor, we use a copula directional dependence model based on marginal regression with a beta logit function and integer valued generalized autoregressive conditional heteroskedasticity model. Using the proposed model, we find technological trends and relations in the target technological domain. To illustrate the performance and implication of our paper, we carry out experiments using the patent documents applied and registered by Apple company. This study contributes to the effective planning for the research and development of technologies by utilizing the evolution of technology over time.

scholarly journals Patent Data Analysis of Artificial Intelligence Using Bayesian Interval Estimation

2020 ◽  
Vol 10 (2) ◽  
pp. 570 ◽  
Author(s):  
Daiho Uhm ◽  
Jea-Bok Ryu ◽  
Sunghae Jun
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
Bayesian Inference ◽  
Prior Knowledge ◽  
Interval Estimation ◽  
Patent Data ◽  
Domain Experts ◽  
Technology Analysis ◽  
Patent Documents

Technology analysis is one of the important tasks in technology and industrial management. Much information about technology is contained in the patent documents. So, patent data analysis is required for technology analysis. The existing patent analyses relied on the quantitative analysis of the collected patent documents. However, in the technology analysis, expert prior knowledge should also be considered. In this paper, we study the patent analysis method using Bayesian inference which considers prior experience of experts and likelihood function of patent data at the same time. For keyword data analysis, we use Bayesian predictive interval estimation with count data distributions such as Poisson. Using the proposed models, we forecast the future trends of technological keywords of artificial intelligence (AI) in order to know the future technology of AI. We perform a case study to provide how the proposed method can be applied to real areas. In this paper, we retrieve the patent documents related to AI technology, and analyze them to find the technological trend of AI. From the results of AI technology case study, we can find which technological keywords are more important or critical in the entire structure of AI industry. The existing methods for patent keyword analysis were depended on the collected patent documents at present. But, in technology analysis, the prior knowledge by domain experts is as important as the collected patent documents. So, we propose a method based on Bayesian inference for technology analysis using the patent documents. Our method considers the patent data analysis with the prior knowledge from domain experts.

scholarly journals Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network Analysis

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 333 ◽  
Author(s):  
Pranomkorn Ampornphan ◽  
Sutep Tongngam
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Patent Data ◽  
Rule Mining ◽  
Trend Forecasting ◽  
Mining Methods ◽  
Patent Documents

A patent is an important document issued by the government to protect inventions or product design. Inventions consist of mechanical structures, production processes, quality improvements of products, and so on. Generally, goods or appliances in everyday life are a result of an invention or product design that has been published in patent documents. A new invention contributes to the standard of living, improves productivity and quality, reduces production costs for industry, or delivers products with higher added value. Patent documents are considered to be excellent sources of knowledge in a particular field of technology, leading to inventions. Technology trend forecasting from patent documents depends on the subjective experience of experts. However, accumulated patent documents consist of a huge amount of text data, making it more difficult for those experts to gain knowledge precisely and promptly. Therefore, technology trend forecasting using objective methods is more feasible. There are many statistical methods applied to patent analysis, for example, technology overview, investment volume, and the technology life cycle. There are also data mining methods by which patent documents can be classified, such as by technical characteristics, to support business decision-making. The main contribution of this study is to apply data mining methods and social network analysis to gain knowledge in emerging technologies and find informative technology trends from patent data. We experimented with our techniques on data retrieved from the European Patent Office (EPO) website. The technique includes K-means clustering, text mining, and association rule mining methods. The patent data analyzed include the International Patent Classification (IPC) code and patent titles. Association rule mining was applied to find associative relationships among patent data, then combined with social network analysis (SNA) to further analyze technology trends. SNA provided metric measurements to explore the most influential technology as well as visualize data in various network layouts. The results showed emerging technology clusters, their meaningful patterns, and a network structure, and suggested information for the development of technologies and inventions.

Technological Prospection of Oil Nanoparticles: Primary Characteristics and Profiles

2020 ◽  
Vol 14 ◽  
Author(s):  
Vanessa de Lima Silva ◽  
Tainara Santos Oliveira ◽  
Carolina Oliveira de Souza ◽  
Janice Izabel Druzian ◽  
Bruna Aparecida Souza Machado ◽  
...  
Keyword(s):  
Food Industry ◽  
Tween 80 ◽  
Patent Document ◽  
Scientific Publications ◽  
Used Oil ◽  
Tween 40 ◽  
The Subject ◽  
Patent Documents ◽  
Patent Filing ◽  
Physical Instability

Background: The search for technological applications for oils has been growing, largely due to their potential nutritional and economic applications. Encapsulation makes it possible to reduce the disadvantages of oils, such as physical instability or thermodynamics, or to improve their technological properties, enabling their use in various industrial areas. Nanoencapsulated oils have the potential to improve oil bioavailability and achieve controlled release and are able to target bioactive compounds with greater precision than microencapsulated oils. Objective: The present study aims to evaluate the primary characteristics and profiles of the technological prospection of oil nanoparticles. Results: Exponential growth in patent filing was noted with a peak in 2017, with China filing the highest numbers of patents. Regarding the area of application, the food industry was most common followed by the pharmaceutical industry. The most commonly used terms in patent documents on the subject were nanoemulsion and nanoparticle. The most commonly used oil, technique, wall materials and emulsifiers were soybean oil; emulsification; chitosan and lecithin; and Span 80, Tween 80 and Tween 40, respectively. The obtained articles were typically patent documents. The main depositor was Jiangnan University, and most inventors filed the same number of patent documents. Conclusion: Nanoencapsulation of oils has many known advantages that have been widely published in the literature and used by industry. There is a trend in the growth of patent document deposits and related scientific publications, indicating that many innovations have been made and highlighting the importance of oil nanoencapsulation.

scholarly journals Protection of Phage Applications in Crop Production: A Patent Landscape

Viruses ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 277 ◽  
Author(s):  
Dominique Holtappels ◽  
Rob Lavigne ◽  
Isabelle Huys ◽  
Jeroen Wagemans
Keyword(s):  
Bacterial Infections ◽  
Crop Production ◽  
Management Strategies ◽  
Scientific Publications ◽  
Non Profit ◽  
Patent Landscape ◽  
Resistant Strains ◽  
Patent Documents ◽  
Methods Of Treatment ◽  
Patenting Activity

In agriculture, the prevention and treatment of bacterial infections represents an increasing challenge. Traditional (chemical) methods have been restricted to ensure public health and to limit the occurrence of resistant strains. Bacteriophages could be a sustainable alternative. A major hurdle towards the commercial implementation of phage-based biocontrol strategies concerns aspects of regulation and intellectual property protection. Within this study, two datasets have been composed to analyze both scientific publications and patent documents and to get an idea on the focus of research and development (R&D) by means of an abstract and claim analysis. A total of 137 papers and 49 patent families were found from searching public databases, with their numbers increasing over time. Within this dataset, the majority of the patent documents were filed by non-profit organizations in Asia. There seems to be a good correlation between the papers and patent documents in terms of targeted bacterial genera. Furthermore, granted patents seem to claim rather broad and cover methods of treatment. This review shows that there is indeed growing publishing and patenting activity concerning phage biocontrol. Targeted research is needed to further stimulate the exploration of phages within integrated pest management strategies and to deal with bacterial infections in crop production.

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