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Overview for 'artificial-intelligence'
Title:
AI4Culture workshops, CC-BY-ND
Creator:
AI4Culture project
News
Created: 4 October 2024
Marco Rendina
Eirini Kaldeli
The AI4Culture project’s brand-new platform offers an exciting opportunity for cultural heritage institutions to access tools and resources on AI. Discover it now!
Title:
AI4Culture workshops, CC-BY-ND
Institution:
AI4Culture project
News
Created: 6 September 2024
Roberta Pireddu
Marta Franceschini
Francesca Manfredini
In October 2024, the AI4Culture project will be running a series of workshops on how to apply AI tools to cultural heritage data. Read on to learn more about the workshops and discover how you can join!
In 2019, the Copyright in the Digital Single Market Directive allowed the analysis of large amounts of copyright-protected data through ‘text and data mining’ techniques, while giving rightsholders the possibility to refuse permission for their copyright-protected data to be mined. This ‘refusal’ is now being applied in practice by cultural heritage institutions. What legal and ethical questions does this raise?
What are the benefits and challenges of Computer-Assisted Translation (CAT) Tools? Mª Ángeles García, Pangeanic Machine Learning Project Director, explains what their CAT tool is and how it will be made available for cultural heritage institutions - part of the AI4Culture interviews series.
EFHA’s Marco Rendina and CrossLang’s AI advisor Tom Vanallemeersch delve into the challenges of automatically transcribing texts. How can Optical Character Recognition (OCR) transcriptions be further enhanced for Machine Translation applications, and how does this benefit cultural heritage institutions? Read the interview - part of the AI4Culture interviews series - to find out.
Why is it important to enrich cultural heritage metadata with linked open data? How can state-of-the-art technologies automate this task? Alexandros Chortaras and Eirini Kaldeli, explain what semantic enrichment is and how cultural heritage organisations can use AI4Culture project tools to improve metadata quality - part of the AI4Culture interviews series.
