Exploration of Maximizing the Benefits of Secondary Model Optimization in Empowering Ancient Book Restoration

DOI

10.2991/978-94-6239-721-7_32How to use a DOI?

Keywords

Submodular Optimization; Ancient Book Restoration Benefits; Priority Decision-Making; Intelligent Protection of Ancient Books

Abstract

To address the difficulty of priority decision-making in ancient book restoration under resource constraints, this study proposes a scientific and efficient dynamic decision-making method. A restoration priority model based on monotone submodular optimization, namely MOSM, is constructed to incorporate multiple indicators, including documentary value, restoration cost, diversity, and urgency, into a unified quantitative framework. The restoration prioritization problem is further formulated as a monotone submodular function maximization problem subject to budget constraints, thereby effectively characterizing the diminishing marginal utility of restoration benefits and improving resource allocation efficiency. Experimental results indicate that, under both dynamic and fixed budget scenarios, the MOSM model significantly outperforms the traditional greedy algorithm and random selection strategy in terms of restoration benefit and cost-effectiveness. The proposed method provides a feasible and effective solution for restoration priority decision-making and offers both theoretical and practical support for the conservation, restoration, and sustainable management of ancient books. These findings further demonstrate its potential value in real-world cultural heritage preservation practice.

Copyright

© 2026 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.

Download article (PDF)

TY  - CONF
AU  - Guangyu Wu
AU  - Yuanlin Zheng
AU  - Jinju Chen
PY  - 2026
DA  - 2026/07/06
TI  - Exploration of Maximizing the Benefits of Secondary Model Optimization in Empowering Ancient Book Restoration
BT  - Proceedings of the 2026 6th International Conference on Public Management and Intelligent Society (PMIS 2026)
PB  - Atlantis Press
SP  - 353
EP  - 367
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-721-7_32
DO  - 10.2991/978-94-6239-721-7_32
ID  - Wu2026
ER  -