• Journal of the Korea Convergence Society
• /
• v.12 no.4
• /
• pp.23-30
• /
• 2021

An Automated Industry and Occupation Coding System assigns statistical classification code to the enormous amount of natural language data collected from people who write about their industry and occupation. Unlike previous studies that applied information retrieval, we propose a system that does not need an index database and gives proper code regardless of the level of classification. Also, we show our model, which utilized KoBERT that achieves high performance in natural language downstream tasks with deep learning, outperforms baseline. Our method achieves 95.65%, 91.51%, and 97.66% in Occupation/Industry Code Classification of Population and Housing Census, and Industry Code Classification of Census on Basic Characteristics of Establishments. Moreover, we also demonstrate future improvements through error analysis in the respect of data and modeling.

• The Journal of Society for e-Business Studies
• /
• v.7 no.3
• /
• pp.105-120
• /
• 2002

The importance of contents industry is growing up in various industries because of internet and digital economy. Recently, contents industry is challenging to new businesses such as total service industry with digital contents. It is important to classify digital contents to use it in contents industries and information and telecommunication service industries. Previous contents classification frameworks is based on contents quality, business model and application methods. They didn't consider business processes, interfaces of business unit and interactions in contents industries. In this paper, we present core business processes in digital contents industries, a corresponding digital contents classification, and analysis method of digital contents industry.

• Food Industry
• /
• s.173
• /
• pp.104-111
• /
• 2003

• Food Industry
• /
• s.173
• /
• pp.125-131
• /
• 2003

• Food Industry
• /
• s.173
• /
• pp.99-103
• /
• 2003

• Journal of Digital Contents Society
• /
• v.14 no.1
• /
• pp.97-109
• /
• 2013

Recently the value and importance of contents industry is rapidly increasing. In particular, consumption on contents convergence integrating contents and new technologies is being increased as smart devices become popular. Next generation contents convergence industry is being recognized as a new engine for national economic development. However there is no concrete framework defining next generation contents convergence industry. This fact brings about serious problems in defining the scope of the industry. To develop effectively new industry, there is a strong need to define types of contents convergence based on dominant factors leading content convergence trend while shedding light on contents, technologies and industry. To define classification of next generation contents convergence indudstry, this study analyzes attributes of contents convergence and carries out conjoint analysis. Based on the attributes found from conjoint analysis, the study suggests new classification scheme of contents convergence industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.14 no.1
• /
• pp.59-71
• /
• 2019

In the rapidly changing industrial environment, the continuous increase in demand for entrepreneurship emphasizes the effective support of the government for the survival and growth of entrepreneurs and the necessity of establishing systematic initiative promotion policies. To this end, Of the total number of enterprises. The purpose of this study is to establish a new classification system for entrepreneurial industry that reflects the trend of entrepreneurship based on convergence technology that emerged during the 4th Industrial Revolution era in order to establish a systematic initiative upbringing policy. In this paper, we propose a new classification system for entrepreneurial ecosystem by using Delphi technique. As a result of the study, the categories of entrepreneurial industry are classified into technology entrepreneurship and general entrepreneurship. Technology entrepreneurship is divided into ICT services, ICT manufacturing, general manufacturing, cultural contents and biotechnology. The results of this study suggest a meaningful implication in the establishment of effective policies to support entrepreneurship in the future by establishing new standards of industry classification system of entrepreneurs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.253-258
• /
• 2021

With the 4th Industrial Revolution and the development of technology, markets of the VR&AR have increased. Also due to COVID-19 pandemic, demands for a digital environment were required because of physical space constraints. Firms are trying to solve this problem by using Metaverse platforms. However, with markets such as Metaverse, VR, AR, and Digital Twins are expanding, prior research on Metaverse definition or classification system is insufficient. Based on understanding VR&AR, Digital Twin, this study established a Industry-Service classification for Metaverse by defining Case studies on Metaverse and through prior research. And by Industry-Service classification for Metaverse this paper propose Metaverse Industry-Service Matrix to analyze the trend and possibility of Metaverse Platform

• The Journal of the Korean life insurance medical association
• /
• v.27 no.1
• /
• pp.21-23
• /
• 2008

The 5th revision of Korean Classification of Diseases(KCD) became effective on January 1, 2008. It has reflected the changes made to the tenth revision of International Classification of Diseases (ICD-10) between 1998 and 2005 and the suggestions of academic and related societies in Korea. Two important alterations seem to have a major implication in the insurance industry. One would be the official introduction of a Korean version of International Classification of Diseases for Oncology, third edition(ICD-O-3). The borderline ovarian tumor is classified as a borderline neoplasm, which was classified as a malignant neoplasm in the previous edition of International Classification of Diseases for Oncology. The other would be the appearance of non-C-code malignant neoplasm for the diseases, such as polycythemia vera, newly classified as a malignant neoplasm by the current edition of International Classification of Diseases for Oncology. The National Office of Statistics(NSO) adopted the way of implementation used in the Australian Modification of International Classification of Diseases(ICD-10-AM), instead of assigning them into corresponding C code. Overall, the changes made in this revision doesn't seem to have a serious impact on the insurance industry since it has only reflected updates made to ICD-10.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
• /
• 2006.04a
• /
• pp.15-20
• /
• 2006

For grouping the direction of improvement in the classification of surveying jobs, watching for internal surveying jobs, it has a purpose to present the direction of improvement. KSCO based on ISCO-88 was identifed with having independent special surveyors differing from foreign surveying jobs classification. Strandard Industry Classification of foreign survey is classifying KSCO of survey detailed. thus, the improvement of survey jobs classification of KSCO is urgent to produce, analyze and process the data about the same field for classifying survey information industry efficiently and systematically. It is changing from analog survey to digital survey applying a new technology such as GPS, GIS, RS. thus, the field of geoinformation is needed to classify and improve newly.