Survey on Multimodal Semantic Representations for Cultural Heritage

Dear all,
We invite you to take part in a short survey exploring how semantic metadata and generative AI can be used to make cultural heritage more accessible through multimodal representations (text, image, music, 3D).
The work is part of the MuseIT project<https://www.muse-it.eu>, a European initiative focused on inclusive access to cultural heritage. It builds on CUBE<https://arxiv.org/abs/2407.06863>, a benchmark grounded in Wikidata knowledge graphs, and is extended in CUBE-MT<https://www.sciencedirect.com/science/article/pii/S1570826824000337?via%3Dihub> to support multiple sensory modalities.
Survey link: https://forms.gle/DNG2g8YTQTWzRDuE9
Estimated time: 15–20 minutes
Your inputs will be invaluable in shaping tools and building semantic web infrastructures that support more inclusive and meaningful access to cultural artefacts. Please don’t hesitate to reach out if you have any questions or thoughts. Thank you in advance—we appreciate your time and feedback.

With sincere thanks and best wishes,
Nitisha
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Dr. Nitisha Jain
Postdoctoral Research Associate
Department of Informatics, King's College London, The UK
Knowledge Graphs | Responsible AI | Explainable AI | Foundation Models
https://www.kcl.ac.uk/people/nitisha-jain