• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.145-174
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• 2020

The study is aimed at exploring the contents and composition of archive of works and subjects digital figures for works by Shin Saimdang, Heo Nanseolheon and Song Deokbong among female writers during the mid-Joseon Dynasty. To this end, first, to investigate and analyze the theoretical background and the preceding study by studying literature. Second, based on the reason for the character selection, the life of Shin Saimdang, Song Deokbong, and Heo Nanseolhun are analyzed. Third, the works and themes are analyzed through the writings left by Shin Saimdang, Song Deokbong, and Heo Nanseolheon, as well as by various researchers on them. Fourth, it presents the contents and composition of the archive of digital figures in works and subjects with the focus of Shin Saimdang, Song Deokbong and Henan Seolheon.

• Journal of Korean Library and Information Science Society
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• v.50 no.4
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• pp.469-491
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• 2019

The purpose of the study is to establish a plan for the development of digital person archives with the case of Geum-nam Kim, the third-generation head of the Christian Donggwangwon Monastery Society. The step-by-step strategy for building digital character archives for Geum-nam Kim is as follows. 1)The reason and expected effect of the character selection are analyzed. Since he was a survivor, he has recorded and typed his life history through several interviews. Considering that the memory of Geum-nam Kim, who is over 90 years old, could be mixed up in the time of the incident, the advice of Sister Donggwangwon and Maj. Gen. Gyuillwon, the lower unit of Donggwangwon, was obtained and verified for accuracy. 2)The contents of the records and the place of collection were identified, and the total content composition(proposal) was presented by reclassifying and relocating the records identified records. The entire contents are divided into recorded contents and explanatory contents, so that they can be linked to each area and collection.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.681-691
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• 2022

The purpose of this study is to construct a digital archive system by analyzing the collections of the Korean Christian Museum at S University, which has a large number of materials related to Korean Christianity published in the modern period from the time of Korea's enlightenment until liberation. In order to construct a digital archive system, indexes and metadata for the collection are complied according to the pre-defined format. After digitizing the selected collection, a database is built using metadata information, and the actual system is divided into a web standard-based management system and a user service system. Also a content-based search system is constructed, which provides the matching value of retrieval results in units of one character and an automatic search term completion function to enhance user convenience. Therefore, collections in the museum, which are difficult to access the original text, are digitized and provided so that they can be easily used, laying the foundation for the long-term development of humanities contents for improving the accessibility and availability of collections for both researchers and the public.

• The Korean Journal of Archival Studies
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• no.41
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• pp.113-173
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• 2014

For the past few years, there has been active seeking of archival practices outside of public institutions. For example, there is oral history archive which has an actual field of its own, community archive, archives of everyday life, cultural resources archive, digital archive, and post-modern archive with its discourse practical character. In this reading, such flow is organized through everyday paradigm, and examines new archival methodology that is suitable for it. Through such critical mind, semiotic approach is taken and the need, direction and alternative of archival methodology is offered. Especially, archival methodology, which can be applied to archives is thoroughly observed. Also, the way how sign practices can be executed in the archival field is explained through specific examples. Of course, it is clearly stated that this is an instance, and that it is an archival methodology that can be applied to public institutions. We hope this would be a discuss that would enable a comprehensive understanding of records.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.156-164
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• 2021

Currently, digital restoration has s long way to go. Character restoration is only used as a one-time event to restore the shape of a specific person, and building restoration is only composed of digital modeling rather than using the restored cultural assets as content. There is a limit to restoring even the story of a building or a person with the current restoration method alone. Therefore, this study analyzed the method and process of digital restoration of a 'historical and cultural space' encompassing spaces, people, and events, focusing on relationships. In order to derive digital restoration methods, the case of 'Latelier', an indoor theme park based on Gogh, was analyzed. According to the study, the relationship of the person important for digital restoration is important. Based on Gogh's relationship, the process was formalized in four stages for digital restoration: the preparation stage, the digital archive stage, the DB advancement stage, and the demonstration stage. The restoration of the story of the character through the relationship can be expected to converge the past and the present as a true historical restoration, and through this, it is expected that the innovative development of digital restoration can be achieved.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1076-1084
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• 2019

In this paper, we introduced a system that extracts metadata by recognizing characters and objects in media using deep learning technology. In the field of broadcasting, multimedia contents such as video, audio, image, and text have been converted to digital contents for a long time, but the unconverted resources still remain vast. Building media archives requires a lot of manual work, which is time consuming and costly. Therefore, by implementing a deep learning-based metadata generation system, it is possible to save time and cost in constructing media archives. The whole system consists of four elements: training data generation module, object recognition module, character recognition module, and API server. The deep learning network module and the face recognition module are implemented to recognize characters and objects from the media and describe them as metadata. The training data generation module was designed separately to facilitate the construction of data for training neural network, and the functions of face recognition and object recognition were configured as an API server. We trained the two neural-networks using 1500 persons and 80 kinds of object data and confirmed that the accuracy is 98% in the character test data and 42% in the object data.