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Huge Content Data Management for Numerous Applications in the Museum

conferencePaper

DOI:10.1109/ICUFN61752.2024.10625592
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Authors: Lee Jae-Ho / Park Chan-Woo / Kim Hee-Kwon

Extracted Abstract:

—The digital transformation wave is significantly reshaping museum operations and amplifying the demand for robust data management technologies. As museums grapple with vast amounts of data, efficient solutions are essential to harness cultural heritage information effectively. This paper explores the critical role of data management technology in supporting realistic content creation, preservation, management, and edu- cational endeavors within the museum context. Standardizing cultural heritage digital data, generated across diverse museum departments, emerges as a pivotal step toward successful digital transformation. Our ongoing research centers on developing an AI-based digital heritage platform tailored to traditional cultural artifacts. By establishing comprehensive standards for data cre- ation, transformation, processing, analysis, and visualization, we aim to efficiently manage the substantial data volumes generated by museums. Index Terms—Huge Content, Digital Heritage, Cultural Her- itage, Intelligent Platform, Digital Transformation I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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