• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.15-23
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• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.2
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• pp.179-199
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• 2019

In this paper, we propose optimal methodologies for classifying patent literature by examining various feature extraction methods, machine learning and deep learning models, and provide optimal performance through experiments. We compared the traditional BoW method and a distributed representation method (word embedding vector) as a feature extraction, and compared the morphological analysis and multi gram as the method of constructing the document collection. In addition, classification performance was verified using traditional machine learning model and deep learning model. Experimental results show that the best performance is achieved when we apply the deep learning model with distributed representation and morphological analysis based feature extraction. In Section, Class and Subclass classification experiments, We improved the performance by 5.71%, 18.84% and 21.53%, respectively, compared with traditional classification methods.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.4
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• pp.67-76
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• 2015

The purpose of this study is to set a direction for the development of men's underwear after analyzing current applications for patent regarding men's special-purpose underwear. In terms of a research method, the disclosed patents and utility models were investigated using the patent information database provided by Korea Institute of Patent Information (KIPRIS, http://www.kipris.or.kr). For this, the patents applied from 1990 to October 2015 were targeted. The keywords used for patent search were 'men's underwear' and 'men's special-purpose underwear.' When searched by the keywords above, a total of 1,089 cases were found. Except for expired or cancelled ones, 243 cases were investigated. Then, annual application trends, current registrations on literature records, classification of utility model right holders and contents by topic were analyzed. In terms of data analysis, frequency analysis, crosstabulation analysis and multiple response analysis were conducted, using SPSS 18.0. The results found the followings: In terms of annual application trends, the number of applications for patent started to gradually increase since 2007. Since 2011, it has rapidly increased. In terms of the number of patent registrations, literature registration was far higher than utility model registration. In terms of application rights, 'individually registered (58.8%)' was higher than 'registered by the organization (41.2%).' Among 243 cases, 'underwear (58%)' was the highest, followed by 'men's underwear-related items (29.2%)' and 'thermals (8.2%).' According to analysis on the details of the patent applied for men's underwear, 'penis-scrotum separation' was most focused, followed by 'disposable product' 'airy features,' 'scrotum protection' and 'structure of underwear.'

• The Journal of Industrial Distribution & Business
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• v.6 no.3
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• pp.27-33
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• 2015

Purpose - This paper's aim is to analyze the technological information in patent databanks as a strategy in prospecting for new technologies. Research design, data, and methodology - We detail the major free electronic database sources for patent information, the patent documents, the patent document structures, INID codes (Internationally Agreed Numbers for the Identification of Data), indexation, references, and classification notions. Additionally, we review and analyze information on the activities of the Center of Dissemination Documentation and Technological Information (CEDIN) from the National Institute of Intellectual Property (INPI) of Brazil for the period 2000 to 2011. Results - The research shows that the technological information contained in the patents could provide a wide range of functionality within companies and universities. Conclusions - In recent years, (CEDIN), a specialist in intellectual property, has been serving internal and external users by providing guidance on the basis of patents and other literature, but the number of users served is still small. In order to familiarize more potential users of such technological information, task forces should be created among INPI, universities, and companies.

• Korean Journal of Acupuncture
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• v.34 no.4
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• pp.191-208
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• 2017

Objectives : The purpose of this study was to analyze the trend of pharmacopuncture in Korean patent in order to establish database for patent technology. Methods : Electronic literature searches for Korean patents related to pharmacopuncture were performed in two electronic databases (Korea Intellectual Property Right Information Service and National Digital Science Library) to June 2017. Patents that were not Korean ones, did not use medicinal herb, only described method of manufacture, or had nothing to do with pharmacopuncture were excluded in this study. The status and application date of patents, Medicinal herb, target diseases, International Patent Classification (IPC), model of experiment and extracting methods were analyzed. Results : A total of 379 patents were retrieved. Based on our inclusion/exclusion criteria, 297 patents were excluded. Of 82 included patents, 27 patents did not include experiments using pharmacopuncture, and 9 patents were invented for treating animals such as pig or calf. In IPC analysis, Bee Venom, Panax (ginseng), Angelica, and Paeoniaceae were used frequently. Musculoskeletal diseases were the most targeted diseases followed by nervous diseases. For extracting, hot water extraction, distillation extraction, and solvent extraction using alcohol, ethanol, or methanol for solvent were commonly used. Conclusions : These data are useful for inventing new patent and extending range of pharmacopuncture in clinical use, however, more systematically analyzed patent studies and pharmacopuncture-related studies for new application on various diseases are needed in further studies.

• Tribology and Lubricants
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• v.38 no.4
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• pp.143-151
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• 2022

This study analyzes patents related to oil diagnosis of construction equipment. Oil diagnosis is extremely important for maintaining construction equipment properly. Through the evaluation of existing patents, a patent strategy for the future construction equipment market is presented. The related patents are classified and selected in several steps. Finally, 16 valid patents are selected and analyzed in detail. In the classification process, patents are classified by country, year, and company. A market analysis shows that the top 10 companies have a market share of more than 50. In addition to patents related to the oil analysis of construction equipment, patents related to automobile oil analysis and development of oil sensors are investigated to identify the contents of patents in other fields that can be applied to oil diagnosis technology for construction equipment. Moreover, not only the contents of research articles of two Korean construction companies, but also the research trends in the literature in this field are used in the analysis. The related patents of the two Korean companies are few. Companies with a high market share, including Caterpillar, hold many patents, and patents for diagnosis algorithms using such technologies as artificial intelligence and artificial neural networks, along with oil sensor-based condition monitoring technology, are gradually expanding.