• Annual Conference on Human and Language Technology
• /
• 2006.10e
• /
• pp.57-64
• /
• 2006

본 논문에서는 웹과 같은 일반적인 도메인의 영한 자동 번역기를 특허용 영한 자동번역기로 특화하는 방법에 대해 기술한다. 특허용 영한 파동번역기로의 특화는 다음과 같은 절차에 의해 이루어진다: 1) 대용량 특허 문서에 대한 언어학적 특성 분석, 2) 대용량 특허문서 대상 전문용어 추출 및 대역어 구축, 3) 기존 번역사전 대역어의 특화, 4) 특허문서 고유의 번역 패턴 추출 및 구축, 5) 언어학적 특성 분석에 따른 번역 엔진 모듈의 특화 및 개선, 6) 특화된 번역 지식 및 번역 엔진 모듈에 따른 번역률 평가. 이와 같은 절차에 의해 만들어진 특허 영한 자동 번역기는 특허 전문번역가의 평가에 의해 전분야 평균 81.03%의 번역률을 내었으며, 분야별로는 기계분야(80.54%), 전기전자분야(81.58%), 화학일반분야(79.92%), 의료위생분야(80.79%), 컴퓨터분야(82.29%)의 성능을 보였으며 계속 개선 중에 있다. 현재 본 논문에서 기술된 영한 특허 자동번역 시스템은 산업자원부의 특허지원센터에서 변리사 및 특허 심사관이 영어 전기전자분야 특허 문서를 검색할 때 한국어 번역서비스를 제공받도록 이용되고 있으며($\underline{http://www.ipac.or.kr}$), 2007년에는 전분야 특허문서에 대한 영한 자동번역 서비스를 제공할 예정이다.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.35 no.1
• /
• pp.97-125
• /
• 2024

The purpose of this study is to increase access to information on old maps and to discuss efficient ways to utilize old maps, such as providing services and information using old maps. To this end, the information search system of domestic institutions that provide old map information was investigated, and methods of searching for old map data and accessing information were searched on the website. In addition, the current status of the collection of old maps in domestic libraries and museums was analyzed by referring to the homepage, book, research book, and publication of each institution. As a result of the analysis, about 2,200 old maps were housed in 76 institutions, including national, public, and university libraries and museums nationwide. Each institution in the collection of old maps was carrying out publication business, such as publication of English manuscripts, exhibitions and books, publication of research document edits such as lists and summaries. However, reading and using of original documents are limited due to the rare nature of old maps and the data characteristics of the only one. In order to effectively utilize old maps, first, it is necessary to improve access to old map information services and expand academic information services. Second, it is proposed to use old maps as data for archival construction that reflects the identity of the region. Third, it is necessary to cultivate professional manpower who selects and provides information based on knowledge of old map data and humanities literacy.

• Archives of design research
• /
• v.17 no.2
• /
• pp.181-188
• /
• 2004

The values of material civilizations that dominated the last century have been replaced with invisible values such as knowledge, information, and culture. The central axis of the world economy is also rapidly shifting from a capital and labor-intensive industry to a knowledge-based industry of software and contents. From the perspective of the industrialization of culture as multinational corporations and dominance and subordination relationships between cultures thereof, and crisis of cultural identity, the issues of support and fostering a culture industry arise. These have become major issues of concern in deciding national policies. In response to this trend, new departments related to culture contents in various universities have been established for fostering manpower in the field and the government policy to foster related human resources. However, actual results have not been currently achieved, despite the increase in quantity. This is due to the fact that the walls between culture contents departments were too high and thus education and fostering excellent human resources have not been properly conducted. It is also due to the obscure direction of education and a deficiency in the system. To cope with these problems, a systematic manpower-fostering education program should be developed through enhancement of the understanding of culture contents via linking education programs with detailed major fields of study. Accordingly, this study aims to identify changes in the current culture contents industry at home and abroad according to digitalization for fostering manpower of culture contents required in a rapidly changing environment of the culture contents industry. Then, it will review what influence has been made on the education system through the identification of personnel types through work flow charts and contents delivery modes following integration, as well as a desirable method to construct culture contents. Therefore, this study is a preliminary study on the means of fostering core personnel in the culture contents industry through linkage with the education system.

• Journal of Intelligence and Information Systems
• /
• v.21 no.3
• /
• pp.53-77
• /
• 2015

Korea has witnessed an increasing number of domestic patent applications, but a majority of them are not utilized to their maximum potential but end up becoming obsolete. According to the 2012 National Congress' Inspection of Administration, about 73% of patents possessed by universities and public-funded research institutions failed to lead to creating social values, but remain latent. One of the main problem of this issue is that patent creators such as individual researcher, university, or research institution lack abilities to commercialize their patents into viable businesses with those enterprises that are in need of them. Also, for enterprises side, it is hard to find the appropriate patents by searching keywords on all such occasions. This system proposes a patent recommendation system that can identify and recommend intellectual rights appropriate to users' interested fields among a rapidly accumulating number of patent assets in a more easy and efficient manner. The proposed system extracts core contents and technology sectors from the existing pool of patents, and combines it with secondary social knowledge, which derives from tags information created by users, in order to find the best patents recommended for users. That is to say, in an early stage where there is no accumulated tag information, the recommendation is done by utilizing content characteristics, which are identified through an analysis of key words contained in such parameters as 'Title of Invention' and 'Claim' among the various patent attributes. In order to do this, the suggested system extracts only nouns from patents and assigns a weight to each noun according to the importance of it in all patents by performing TF-IDF analysis. After that, it finds patents which have similar weights with preferred patents by a user. In this paper, this similarity is called a "Domain Similarity". Next, the suggested system extract technology sector's characteristics from patent document by analyzing the international technology classification code (International Patent Classification, IPC). Every patents have more than one IPC, and each user can attach more than one tag to the patents they like. Thus, each user has a set of IPC codes included in tagged patents. The suggested system manages this IPC set to analyze technology preference of each user and find the well-fitted patents for them. In order to do this, the suggeted system calcuates a 'Technology_Similarity' between a set of IPC codes and IPC codes contained in all other patents. After that, when the tag information of multiple users are accumulated, the system expands the recommendations in consideration of other users' social tag information relating to the patent that is tagged by a concerned user. The similarity between tag information of perferred 'patents by user and other patents are called a 'Social Simialrity' in this paper. Lastly, a 'Total Similarity' are calculated by adding these three differenent similarites and patents having the highest 'Total Similarity' are recommended to each user. The suggested system are applied to a total of 1,638 korean patents obtained from the Korea Industrial Property Rights Information Service (KIPRIS) run by the Korea Intellectual Property Office. However, since this original dataset does not include tag information, we create virtual tag information and utilized this to construct the semi-virtual dataset. The proposed recommendation algorithm was implemented with JAVA, a computer programming language, and a prototype graphic user interface was also designed for this study. As the proposed system did not have dependent variables and uses virtual data, it is impossible to verify the recommendation system with a statistical method. Therefore, the study uses a scenario test method to verify the operational feasibility and recommendation effectiveness of the system. The results of this study are expected to improve the possibility of matching promising patents with the best suitable businesses. It is assumed that users' experiential knowledge can be accumulated, managed, and utilized in the As-Is patent system, which currently only manages standardized patent information.

• Journal of Intelligence and Information Systems
• /
• v.14 no.4
• /
• pp.69-87
• /
• 2008

The Web is evolving toward the Semantic Web. Ontologies are considered as a crucial component of the Semantic Web since it is the backbone of knowledge representation for this Web. However, most of these ontologies are still built manually. Manual building of an ontology is time-consuming activity which requires many resources. Consequently, the need for automatic ontology extraction tools has been increased for the last decade, and many tools have been developed for this purpose. Yet, there is no comprehensive framework for evaluating such tools. In this paper, we proposed a set of criteria for evaluating ontology extraction tools and carried out an experiment on four popular ontology extraction tools (i.e., OntoLT, Text-To-Onto, TERMINAE, and OntoBuilder) using our proposed evaluation framework. The proposed framework can be applied as a useful benchmark when developers want to develop ontology extraction tools.

• The Journal of the Korea Contents Association
• /
• v.10 no.3
• /
• pp.454-462
• /
• 2010

The current curriculum in the 7th informatics, which simply highlights the use of applied programs rather than enhancing creativity through learning several principles in information science and thus making it hard to have optimism on the future as a powerhouse in IT. By diagnosing these problems, Education Ministry revised the existing curriculum to have a more scientific access to the informatics. However, the curricular revision fails to meet the needs of learners sufficiently because it tends to put the considerations of theoretical specialists before the learners them selves. This paper compares and analyzes the overall understanding of learners on informatics, current-curriculum and 7th revised curriculum and that of college-level, thus offering the student-centered one. Also, the research tries to bridge the opinion gap between developer and learner by looking into the understanding level of university majors about the current curriculum. In doing so, thesis may provide the basis on exploring new approaches and contribute to establishing 7th revised curriculum in school.

• The Korean Journal of Archival Studies
• /
• no.79
• /
• pp.5-32
• /
• 2024

The Korean government ranked 3rd among 193 UN member countries in the UN's 2022 e-Government Development Index. Korea, which has consistently been evaluated as a top country, can clearly be said to be a leading country in the world of e-government. The lubricant of e-government is data. Data itself is neither information nor a record, but it is a source of information and records and a resource of knowledge. Since administrative actions through electronic systems have become widespread, the production and technology of data-based records have naturally expanded and evolved. Technology may seem value-neutral, but in fact, technology itself reflects a specific worldview. The digital order of new technologies, armed with hyper-connectivity and super-intelligence, not only has a profound influence on traditional power structures, but also has an a similar influence on existing information and knowledge transmission media. Moreover, new technologies and media, including data-based generative artificial intelligence, are by far the hot topic. It can be seen that the all-round growth and spread of digital technology has led to the augmentation of human capabilities and the outsourcing of thinking. This also involves a variety of problems, ranging from deep fakes and other fake images, auto profiling, AI lies hallucination that creates them as if they were real, and copyright infringement of machine learning data. Moreover, radical connectivity capabilities enable the instantaneous sharing of vast amounts of data and rely on the technological unconscious to generate actions without awareness. Another irony of the digital world and online network, which is based on immaterial distribution and logical existence, is that access and contact can only be made through physical tools. Digital information is a logical object, but digital resources cannot be read or utilized without some type of device to relay it. In that respect, machines in today's technological society have gone beyond the level of simple assistance, and there are points at which it is difficult to say that the entry of machines into human society is a natural change pattern due to advanced technological development. This is because perspectives on machines will change over time. Important is the social and cultural implications of changes in the way records are produced as a result of communication and actions through machines. Even in the archive field, what problems will a data-based archive society face due to technological changes toward a hyper-intelligence and hyper-connected society, and who will prove the continuous activity of records and data and what will be the main drivers of media change? It is time to research whether this will happen. This study began with the need to recognize that archives are not only records that are the result of actions, but also data as strategic assets. Through this, author considered how to expand traditional boundaries and achieves reterritorialization in a data-driven society.

• 대한예방의학회:학술대회논문집
• /
• 2002.07b
• /
• pp.3-17
• /
• 2002

국민건강은 국가발전의 기본조건이다. 국민건강은 건강한 어린이의 출산에서 비롯되고, 건강한 어린이의 출산을 위하여 여성이 건강해야 한다 따라서 여성과 어린이 건강보호와 증진을 위한 모자보건사업은 국가보건사업 중 최우선 사업으로 추진되어야 한다. 우리나라의 모자보건사업은 1960대부터 보건소를 통하여 가족계획, 산전관리, 안전분만유도, 예방접종을 중심으로 하였다. 1980년대에 들어와 전국민의료보험의 실현과 국민생활수준의 향상 등으로 산전관리 수진율과 시설분만율이 급격히 증가하여 1990년대 후반에는 거의 100%에 도달하였고, 가족계획실천율도 1991년에 79.4%까지 증가하여 합계출산율이 1.6으로 감소하였고, 어린이 기본예방접종률도 90%이상이 되어 전염병 발생률이 현저히 감소하였다. 전통적인 모자보건사업 관련 지표들이 이렇게 향상되자 일선 보건요원에서부터 중앙정부의 정책결정권자에 이러기까지 모자보건사업에 대한 관심도가 떨어져 중앙부처의 모자보건업무 담당 부서도 축소되고, 모자보건 사업도 쇠퇴하였다. 그러나 어린이와 여성의 건강실태를 자세히 들여다보면 심각한 문제들이 대두되고 있다. 시설 분만율의 증가에 따라 제왕절개분만율이 40%대까지 급증하였고, 모유수유률은 10%대로 떨어졌다. 어린이의 체격은 커지고 있으나 체력은 떨어지고, 비만한 어린이가 급증하여 당뇨병과 같은 성인병 유병률이 어린이들에게 증가하고, 사고에 의한 어린이 사망과 장애가 늘고 있다. 또한 청소년들의 흡연율과 음주률이 증가하고, 성적 성숙이 빨라지고 사회의 개방풍조로 성(性)활동 연령이 낮아지고 성활동이 증가하여 혼전임신과 성폭력이 증가하고 있다. 여성들은 일찍 단산하고, 폐경 연령은 높아지고, 평균수명은 길어져 중년기와 장년기 그리고 노년기가 길어져 각종 만성질환에 이환될 기회가 늘어났다. 이러한 시기의 중요 건강문제들은 뇌혈관질환, 폐암, 유방암, 골다공증, 뇨실금 등과 같이 해결하기 어려운 것들이다. 이렇게 어린이와 여성들에게 새로운 건강문제들이 대두되고 있으나 이에 대한 대응정책이 없었고, 따라서 새로운 모자보건사업이 개발되지 않았으며 일선 보건요원의 훈련도 없었다. 그리고 이러한 건강실태를 파악하여 대책을 마련하고, 보건사업을 평가할 수 있는 보건정보체계가 없는 실정이다. 1990년대 중반에 소수의 학자들이 어린이와 여성건강문제의 심각성을 제기하고, 모자보건사업 활성화의 필요성을 주장하여 보건복지부가 '모자보건선도보건사업'이라는 이름으로 1999년부터 2001년까지 3년간 23개 보건소에서 시범사업을 시행하였다. 이 시범사업에서는 한정된 자원으로 여성과 어린이 보건문제를 효과적으로 해결하기 위해 새로운 보건사업의 개발과 효율적으로 수행하는 방법의 개발에 역점을 두어 많은 성과를 거두었다. 시범사업의 경험을 바탕으로 2002년에는 전국의 45개 보건소로 확대해나가고 있다. 모자보건선도보건사업에서는 임산부가 대상이었던 기존의 모자보건사업과는 달리 신생아, 영유아, 학동기 어린이, 청소년, 그리고 신혼부부에서부터 장년기 여성에 이르기까지 사업대상을 확대하고 생애주기에 따라 지역사회 건강문제해결을 목표로 한 보건사업을 수행하도록 하였다. 사업수행 과정에서 보건소는 지역내 대학과 협력체계를 구축하여 기술적 지원을 받고, 보건요원의 교육 훈련을 통해 사업기획 능력과 전문지식과 기술을 향상시켰고, 보건교육에 필요한 시설과 장비를 구입하였고, 민간의료기관과 연계하여 보건서비스의 질을 향상시켰다. 모자보건 선도보건소에서 제공하는 서비스는 취약계층 중심의 보건교육, 상담 및 지도, 고위험대상자 조기발견 및 민간기관 의뢰 및 주구관리, 질병 조기발견을 위한 검진 의뢰, 지역 보건통계 생산과 관리, 그리고 지역내 가용자원 안내 등이며, 저소득층에 대해서는 민간의료기관에 의뢰 또는 검진비용을 지원하였다. 이와 같이 지역사회 민간기관과 협력체계를 구축함에 따라 대상자를 지속적으로 관리할 수 있는 정보를 공유하게 되었고, 건강증진 및 질병예방, 치료, 사후관리를 포함한 지속적이고 포괄적인 서비스를 제공할 수 있게 되었다. 특히 고위험 및 건강의심 대상, 임부와 장년기 여성에 대해서는 건강검진서비스를 과감히 민간기관에 의뢰, 위탁하친 보건소는 상담자, 정보관리자로서의 역할로 전환할 수 있었다. 그러나 사업관리자의 양적 평가에 대한 고정관념과 질적 평가에 대한 인식부족, 기본 생정통계와 정보체계의 미비로 인한 부정확한 통계생산, 사업요원의 전문지식과 기술 부족, 그리고 인력부족 등이 문제점으로 대두되었다. 효율적인 사업확산과 조기 정착을 위해 중앙정부의 일관성 있는 정책과 재정적 지원이 필수적이며, 보건정보체계확립, 그리고 공공보건기관과 민간의료기관간의 공식적인 협력체계확립이 필요하다. 사업추진 모니터링 및 평가, 조정을 위하여 중앙에 '모자보건 선도사업 기술지원단'을 구성하여 운영하고, 프로그램 운영이 잘되는 보건소를 특성화 보건소로 지원 육성하고, 사업요원의 업무 적정화를 위한 보건소 조직과 기존 보건사업체계의 평가와 재편이 필요하다. 보건사업요원의 자질 향상을 위한 지속적인 교육 훈련 시스템과 보건통계생산 관리를 위한 정보체계의 구축이 요구된다. 모자보건사업관련 보건교육자료를 수집하고 개발하여 전국 보건소에 공급하는 중앙 보건교육자료 및 정보센터가 필요하다.

• Journal of Intelligence and Information Systems
• /
• v.24 no.3
• /
• pp.67-88
• /
• 2018

Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

• The KIPS Transactions:PartA
• /
• v.18A no.3
• /
• pp.81-92
• /
• 2011

There has been a number of attempts to apply 3D CAD data created in the design stage of product life cycle to various applications of the other stages in related industries. But, 3D CAD data requires a large amount of computing resources for data processing, and it is not suitable for post applications such as distributed collaboration, marketing tool, or Interactive Electronic Technical Manual because of the design information security problem and the license cost. Therefore, various lightweight visualization formats and application systems have been suggested to overcome these problems. However, most of these lightweight formats are dependent on the companies or organizations which suggested them and cannot be shared with each other. In addition, product structure information is not represented along with the product geometric information. In this paper, we define a dataset called prod-X3D(Enhanced X3D Dataset for Web-based Visualization of 3D CAD Product Model) based on the international standard graphic format, X3D, which can represent the structure information as well as the geometry information of a product, and propose a translation method from 3D CAD data to an prod-X3D.