참고문헌
- Ahn, Sejin, Hwang, Hyunho, & Yim, Junhee (2022). A Case Study on the Application of AI-OCR for Data Transformation of Paper Records. Journal of the Korean Society for Information Management, 39(3), 165-193. https://doi.org/10.3743/KOSIM.2022.39.3.165
- Archival Description Rules. NAK 13 : 2022(v2.1).
- ETRI SW-SoC Convergence R&BD Center [n.d.]. Language analysis techniques. Public AI Open API.Data Service Portal. Available: https://aiopen.etri.re.kr/guide/WiseNLU
- ETRI SW-SoC Convergence R&BD Center [n.d.]. Provision API. Public AI Open API.Data Service Portal. Available: https://aiopen.etri.re.kr/serviceList
- Go, Myunghyun, Kim, Hakdong, Lim, Heonyeong, Lee, Yurim, Jee, Minkyu, & Kim, Wonil (2019). A Study on Named Entity Recognition for Effective Dialogue Information Prediction. Journal of Broadcast Engineering, 24(1), 58-66. https://doi.org/10.5909/JBE.2019.24.1.58
- Han, Mi-Kyoung (2020). Letters from protestant missionaries in Korea (1884-1942) & digital archive. Paju: bogosa.
- Information and documentation - Records management - Part 1: Concepts and principles. ISO 15489-1 : 2016, 3.5, 8.3, 9.4.
- Kang, Beom-mo (2014). Text Context and Word Meaning: Latent Semantic Analysis. EONEOHAG, 68, 3-34. https://doi.org/10.17290/jlsk.2014..68.3
- Kim, Haklae (2022). Considerations for Applying Korean Natural Language Processing Technology in Records Management. Journal of Korean Society of Archives and Records Management, 22(4), 129-149. https://doi.org/10.14404/JKSARM.2022.22.4.129
- Kim, In hu & Kim, Seong hee (2022). Automatic Classification of Academic Articles Using BERT Model Based on Deep Learning. Journal of the Korean Society for Information Management, 39(3), 293-310. https://doi.org/10.3743/KOSIM.2022.39.3.293
- Kim, Tae-Young, Gang, Ju-Yeon, Kim, Geon, & Oh, Hyo-Jung (2018). A Study on the Current Status and Application Strategies for Intelligent Archival Information Services. Journal of Korean Society of Archives and Records Management, 18(4), 149-182. https://doi.org/10.14404/JKSARM.2018.18.4.149
- Lim, Soojong (2021). An Analysis of Trends in the Super-Gigantic AI Language Model. Datascience. KOSTAT Statistics Plus, 16, 70-85.
- Metadata Standard for Records and Archives Management. NAK 8:2022(v2.3).
- ratsgo (2017). Basic Procedure for NLP & Lexical Analysis. Ratsgo's blog. Available: https://ratsgo.github.io/natural%20language%20processing/2017/03/22/lexicon/
- Yim, Jin Hee (2021). Suggestions on how to convert official documents to Machine Readable. The Korean Journal of Archival Studies, 67, 99-138. https://doi.org/10.20923/kjas.2021.67.099
- Bak, G. (2012). Continuous classification: Capturing dyanamic relationships among information resources. Archival Science, 12(3), 287-318. https://doi.org/10.1007/s10502-012-9171-8
- Colavizza, G., Blanke, T., Jeurgens, C., & Noordegraaf, J. (2021). Archives and AI: An Overview of Current Debates and Future Perspectives. Journal on Computing and Cultural Heritage, 15(1), 1-15. https://doi.org/10.1145/3479010
- Colavizza, G., Ehrmann, M., & Bortoluzzi, F. (2019) Index-Driven Digitization and Indexation of Historical Archives. Front. Digit. Humanities, 6, 1-16. https://doi.org/10.3389/fdigh.2019.00001
- Rolan, G., Humphries, G., Jeffrey, L., Samaras, E., Antsoupova, T., & Stuart, K. (2019). More human than human? Artificial intelligence in the archive. Archives and Manuscripts, 47(2), 1-25. https://doi.org/10.1080/01576895. 2018.1502088