• Journal of Korean Society of Archives and Records Management
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• v.9 no.1
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• pp.151-173
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• 2009

The classification in the Records and Archives Sciences focuses on the contextual information in producing and utilizing records rather than their contents. This study aimed at designing an automatic records classification system to enable an automatic classification focusing on the aggregation of the context of records rather than the contents of individual record in the classification scheme, structured on the basis of business activities analyses for records reflecting the business activities. The automatic records classification system was designed to have mutual supplements by constructing the classification scheme and thesaurus together as the classification reference, as well as the aggregation of records that have been already classified. Additionally included are plans to apply the classified contextual information of records to the classification reference on the real-time base right after the category assignment of records to be classified. Although there are limitations as the designed system depends on the quality of the contextual information, it is considered that the system could lead to ensure that the contextual information of records should be more substantial.

• Journal of the Korean Society for information Management
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• v.40 no.3
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• pp.99-118
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• 2023

The objective of this study is to identify performance factors in the automatic classification of records by utilizing metadata that contains the contextual information of records. For this study, we collected 97,064 records of original textual information from Korean central administrative agencies in 2022. Various classification algorithms, data selection methods, and feature extraction techniques are applied and compared with the intent to discern the optimal performance-inducing technique. The study results demonstrated that among classification algorithms, Random Forest displayed higher performance, and among feature extraction techniques, the TF method proved to be the most effective. The minimum data quantity of unit tasks had a minimal influence on performance, and the addition of features positively affected performance, while their removal had a discernible negative impact.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.314-315
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• 2015

최근 음성인식기술이 눈부시게 발전하여 여러 분야에 걸쳐 폭넓게 활용되고 있는 추세에 맞추어, 음성으로 관제의 대부분을 시행하는 VTS에 적용하고자 하였다. 선박 사고 뿐만 아니라, 기타 선박 비리나 정보 공개 요청 등 여러 분야에서 활용할 수 있는 관제내용을 보다 객관적이고 정확하게 기록하고자 VTS 자동 기록 프로그램을 개발하고자 한다.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.2
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• pp.5-22
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• 2007

The purpose of this study is to show elements when we product the archival authority record elements for automatic organization and production. ISAAR(CPF) and RMSCA are reviewed and analyzed which are functioning as the element of standards description and element of the creator. The research methods are literary reviews from Slectronic Document System and Records Center Automation System in public institution as Electronic Records Management Systems. As a result of the research, archival authority record elements are suggested through electronic approval function and system operating and managing function of Electronic Document System, while the elements which is impossible to use automatic organization and production are suggested by the authority system and archivist, and the description rule.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.105-108
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• 2011

범정부적인 차원에서 기록물은 종이 위주의 생산방식에서 전자문서방식으로 변하고 있다. 이미, 많은 국가에서 표준을 정의하여 기록물에 대한 연구가 진행되고 있다. 또한, 기록물을 효과적으로 저장하기 위한 기록물 보존소에 대한 연구도 활발하게 진행 되고 있다. 대부분의 기록물 보존소는 OAIS 참조모델을 기반으로 구성이 되고 있으며, SIP, AIP, DIP 패키지 형태로 수집, 보관, 배포되고 있다. 이러한 기록물 패키지들은 다양한 메타데이터 스키마를 포함 할 수 있어서, 여러 종류의 기록물들의 수집, 보관, 배포가 용이 하게 하지만, 기록물 보존소에 저장되어 있는 기록물 패키지를 검색하기 위해서는 다양한 스키마를 모두 검색 할 수 있어야 하는 문제점이 존재한다. 따라서 본 논문에서는 기록물 패키지를 위한 신경망 회로 기반 자동 스키마 매칭 기법을 제안 하고자 한다. 신경망 회로 기반 자동분류 알고리즘을 통하여 기록물 패키지 안에 존재하는 다양한 형태의 메타데이터 스키마들에 대한 검색을 가능하게 한다. 또한, 실험을 통하여 제안하는 방법의 정확성을 확인 하였다.

• KIISE Transactions on Computing Practices
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• v.24 no.1
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• pp.33-39
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• 2018

For the integration test in the current field of defense simulation, each actual equipment and simulator's logging information is automated. Although the event of the integrated test system is written in the test log, it is not automated, and relies on the operator's handwriting or file creation, resulting in ineffective aspects such as low-quality record content and repetition of the same content. In this study, we propose the automatic test report recording program that solves these problems. Automatic test report recording program uses framework-based technology to receive information from the test control computer and user to record a log of the test log. Automatic test report recording program allows the user to record the repeated test content in a stable manner. Additionally, even if the number of test operators is limited, the efficiency is improved so that we can fucus on the integration test.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.127-154
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• 2017

Large-scale and complex disasters have frequently occurred all over the world recently, and they are repeated every year. Accordingly, the need for the systematic management and utilization of raw-data and processing information in the past has increased. For this purpose, this study proposed a construction strategy for disaster and safety record information resources archives based on automatic acquisition, which can be used as a hub for disaster and safety information. Based on local and foreign case studies, several consideration factors for building the archives are determined. Finally, this study proposed four steps for constructing the archives. These are as follows: 1) complete enumeration survey of the disaster and safety record information resources, 2) automatic acquisition possibility study, 3) selection of the resources for preservation, and 4) automatic acquisition of metadata. The construction of the archives proposed in this study will facilitate integrated management, sharing, and use of scattered information resources on disaster and safety.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.2
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• pp.67-83
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• 2020

Many local governments in Korea provide online services for people to easily access the audio-visual archives of events occurring in the area. However, the current method of managing these archives of the local governments has several problems in terms of compatibility with other organizations and convenience for searching of the archives because of the lack of standard metadata and the low utilization of image information. To solve these problems, we propose the metadata design and machine learning-based automatic indexing technology for the efficient management of the image archives of local governments in Korea. Moreover, we design metadata items specialized for the image archives of local governments to improve the compatibility and include the elements that can represent the basic information and characteristics of images into the metadata items, enabling efficient management. In addition, the text and objects in images, which include pieces of information that reflect events and categories, are automatically indexed based on the machine learning technology, enhancing users' search convenience. Lastly, we developed the program that automatically extracts text and objects from image archives using the proposed method, and stores the extracted contents and basic information in the metadata items we designed.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.391-394
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• 2006

본 연구에서 영상 패턴인식 기술을 이용하여 교차로에서 발생하는 교통사고의 전과정을 동영상으로 기록하고 취득된 사고 자료를 교통관리센터에 전송하여 필요한 조치를 바로 취할 수 있도록 하는 시스템을 제시하였다. 제안된 기술에 따라 개발된 교통사고 자동기록장치가 서울시 교통사고 다발 교차로에 설치되어 운영 및 성능평가 중이다. 동 장치에서 수집된 교통사고 동영상 자료는 교통사고 조사신뢰도를 높이고 교통안전 개선에 크게 기여할 것이다.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.321-344
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• 2017

Research on automatic classification of records and documents has been conducted for a long time. Recently, artificial intelligence technology has been developed to combine machine learning and deep learning. In this study, we first looked at the process of automatic classification of documents and learning method of artificial intelligence. We also discussed the necessity of applying artificial intelligence technology to records management using various cases of machine learning, especially supervised methods. And we conducted a test to automatically classify the public records of the Seoul metropolitan government into BRM using ETRI's Exobrain, based on supervised machine learning method. Through this, we have drawn up issues to be considered in each step in records management agencies to automatically classify the records into various classification schemes.