Unsupervised Creation of Semantic Graphs to Navigate Intangible Cultural Heritage Using Transformers

Authors

  • Maria Teresa Artese National Research Council, Institute of Applied Mathematics and Information Technologies “Enrico Magenes” (CNR-IMATI), 12, Alfonso Corti Str., 20133, Milan, Italy
  • Isabella Gagliardi National Research Council, Institute of Applied Mathematics and Information Technologies “Enrico Magenes” (CNR-IMATI), 12, Alfonso Corti Str., 20133, Milan, Italy

DOI:

https://doi.org/10.55630/dipp.2023.13.13

Keywords:

Semantic Graph, QueryLab Intangible Cultural Heritage Portal, Clustering, Data Visualization, Bert-like Transformers

Abstract

The success of cultural heritage archives depends on their ease of use and navigation. A simple and intuitive user interface can improve accessibility and inclusiveness. This paper presents a new approach to create semantic graphs from archive contents. The resulting graphical representation allows users to explore and navigate the data in new and intuitive ways.

References

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Published

2023-09-01

How to Cite

Teresa Artese, M., & Gagliardi, I. (2023). Unsupervised Creation of Semantic Graphs to Navigate Intangible Cultural Heritage Using Transformers. Digital Presentation and Preservation of Cultural and Scientific Heritage, 13, 137–148. https://doi.org/10.55630/dipp.2023.13.13

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