Tag-Driven File Management System

Luiz Fernando Lemos; Diego Castro; Carlos Eduardo  Pantoja; Bruno Freitas

doi:10.5753/reic.2026.6680

Authors

Luiz Fernando Lemos Federal Center for Technological Education Celso Suckow da Fonseca https://orcid.org/0009-0000-4898-9960
Diego Castro Federal Center for Technological Education Celso Suckow da Fonseca https://orcid.org/0000-0001-9667-7152
Carlos Eduardo Pantoja Federal Center for Technological Education Celso Suckow da Fonseca https://orcid.org/0000-0002-7099-4974
Bruno Freitas Federal Center for Technological Education Celso Suckow da Fonseca https://orcid.org/0009-0006-6825-2361

DOI:

https://doi.org/10.5753/reic.2026.6680

Keywords:

File Management, Tag-based Systems, File Organization, Information Retrieval, Efficiency

Abstract

The search for files is an essential task in the daily lives of computer users. Still, conventional systems can be inefficient, especially when dealing with large amounts of files, leading to wasted time and reduced productivity. This work proposes a Tag-Driven File Management System (TFMS) as an alternative to optimize file organization and retrieval, enabling contextual searches and dynamic categorization. The application was designed with an emphasis on performance, created as a fast and secure desktop application that utilizes a database to store the tags associated with the files, while a caching system enhances directory loading efficiency. Additionally, artificial intelligence models were integrated to suggest tags automatically, enhancing the user experience. The results show that TFMS demonstrated superior efficiency compared to traditional methods, significantly reducing file search time. The comparison with conventional systems validates the effectiveness of the tag-based approach, positioning TFMS as a promising solution for file management.

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Referências

ALBADRI, N., Watson, R., and Dekeyser, S. (2016). Treetags: bringing tags to the hierarchical file system. In Proceedings of the Australasian Computer Science Week Multiconference, pages 1–10.

BEZEK, S. (2011). Tagfs: A simple tag-based filesystem.

BRUZZA, M., Cabrera, A., and Tupia, M. (2017). Survey of the state of art based on picoc about the use of artificial intelligence tools and expert systems to manage and generate tourist packages. In 2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions)(ICTUS), pages 290–296. IEEE.

CHOU, J. (2015). FindFS: adding tag-based views to a hierarchical filesystem. PhD thesis, University of British Columbia.

Dinneen, J. D. and Julien, C.-A. (2020). The ubiquitous digital file: A review of file management research. Journal of the Association for Information Science and Technology, 71(1):E1–E32.

DOBBINS, M. (2017). Rapid review guidebook. Natl Collab Cent Method Tools, 13:25.

HUAI, Q., Hsu, W., Lu, J., Liang, H., Xu, H., and Chen, W. (2021). {XFUSE}: An infrastructure for running filesystem services in user space. In 2021 USENIX Annual Technical Conference (USENIX ATC 21), pages 863–875.

JACKSON, T. W. and SMITH, S. (2012). Retrieving relevant information: traditional file systems versus tagging. Journal of Enterprise Information Management, 25(1):79–93.

Jain, S. M. (2022). Hugging face. In Introduction to transformers for NLP: With the hugging face library and models to solve problems, pages 51–67. Springer.

KITCHENHAM, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004):1–26.

LEE, C., Sim, D., Hwang, J., and Cho, S. (2015). {F2FS}: A new file system for flash storage. In 13th USENIX Conference on File and Storage Technologies (FAST 15), pages 273–286.

LEMBKE, J., Roman, P.-L., and Eugster, P. (2022). Defuse: An interface for fast and correct user space file system access. ACM Transactions on Storage (TOS), 18(3):1–29.

LIU, W., Rioul, O., Mcgrenere, J., Mackay, W. E., and Beaudouin-Lafon, M. (2018). Bigfile: Bayesian information gain for fast file retrieval. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pages 1–13.

LIU, Y., Li, H., Lu, Y., Chen, Z., and Zhao, M. (2019). An efficient and flexible metadata management layer for local file systems. In 2019 IEEE 37th International Conference on Computer Design (ICCD), pages 208–216. IEEE.

OU, J., Shu, J., and Lu, Y. (2016). A high performance file system for non-volatile main memory. In Proceedings of the Eleventh European Conference on Computer Systems, pages 1–16.

SINGH, A., Srivatsa, M., and Liu, L. (2007). Efficient and secure search of enterprise file systems. In IEEE International Conference on Web Services (ICWS 2007), pages 18–25. IEEE.

Sinha, S., Kalwani, P., Shah, A., and Gonsalves, J. (2025). High-performance file searching with rust: Parallelized indexing for enhanced computational efficiency. In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), volume 3, pages 1–6. IEEE.

VANGOOR, B. K. R., Agarwal, P., Mathew, M., Ramachandran, A., Sivaraman, S., Tarasov, V., and Zadok, E. (2019). Performance and resource utilization of fuse user-space file systems. ACM Transactions on Storage (TOS), 15(2):1–49.

YANG, F., Kangy, J., Ma, S., and Huai, J. (2018). A highly non-volatile memory scalable and efficient file system. In 2018 IEEE 36th International Conference on Computer Design (ICCD), pages 431–438. IEEE.

YANG, Y., Cao, Q., Yao, J., Jiang, H., and Yang, L. (2020). Batch-file operations to optimize massive files accessing: Analysis, design, and application. ACM Transactions on Storage (TOS), 16(3):1–25.

Tag-Driven File Management System

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