Proceedings of the 6th International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023)

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The Potential Use of Artificial Intelligence Technology in the Process of Collecting Metadata in Photo Archive Description Activities

Authors
Wiwiet Mardiati1, *, Siti Aisyah1, Niko Grataridarga1, Retno Wulandari1
1Applied Social Science, Vocational Education Program, Universitas Indonesia, Depok, Indonesia
*Corresponding author. Email: wiwiet.m@ui.ac.id
Corresponding Author
Wiwiet Mardiati
Available Online 31 October 2023.
DOI
10.2991/978-2-38476-132-6_78How to use a DOI?
Keywords
artificial intelligence; metadata; photo archive
Abstract

In the current era of digital technology, the creation of photos produced in an activity is experiencing a significant amount of “explosion”. These photos are often stored without adequate metadata, allowing a great deal of information and events to fade over time. In this case, information managers and archivists have a big task dealing with still image archives that must be identified and analysed immediately. Currently there has been research on how Artificial Intelligence (AI) can be used to help collect metadata and descriptions of still image archives. This paper will describe how still image archive identification activities are currently carried out at the Indonesian National Archives manually and provide an overview of how this activity can be assisted with the use of AI technology. It is hoped that the results obtained from this paper can serve as a basis for further research regarding the use of AI for archival activities in general, especially for Indonesian audio visual and still image archives such as photographs and other works of art, and can be a solution for creating more detailed archival descriptions and can later help improve findability in still image archives searches.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 6th International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2023
ISBN
10.2991/978-2-38476-132-6_78
ISSN
2352-5398
DOI
10.2991/978-2-38476-132-6_78How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wiwiet Mardiati
AU  - Siti Aisyah
AU  - Niko Grataridarga
AU  - Retno Wulandari
PY  - 2023
DA  - 2023/10/31
TI  - The Potential Use of Artificial Intelligence Technology in the Process of Collecting Metadata in Photo Archive Description Activities
BT  - Proceedings of the 6th International Conference on Vocational Education Applied Science and Technology (ICVEAST 2023)
PB  - Atlantis Press
SP  - 918
EP  - 931
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-132-6_78
DO  - 10.2991/978-2-38476-132-6_78
ID  - Mardiati2023
ER  -