Using AI to Improve Metadata and Technical Services
<p dir="ltr">Artificial intelligence (AI) is revolutionizing metadata management and technical services in libraries, offering innovative solutions to streamline workflows and enhance access to collections. This poster explores AI-driven tools for automated cataloging, metadata enric...
محفوظ في:
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p dir="ltr">Artificial intelligence (AI) is revolutionizing metadata management and technical services in libraries, offering innovative solutions to streamline workflows and enhance access to collections. This poster explores AI-driven tools for automated cataloging, metadata enrichment and classification, improving accuracy and efficiency. It highlights case studies from the Museum of Islamic Art Library, showcasing AI applications in Arabic script recognition, subject indexing and digital resource organization. By leveraging AI, libraries can optimize technical services, reduce manual workloads, and enhance discoverability. This proposal invites discussion on best practices and future opportunities for integrating AI into library technical services.</p><h2>Other Information</h2><p dir="ltr">Poster was presented at: Libraries Thriving Together in an Open Ecosystem <a href="https://www.qnl.qa/en/libraries-lead-forum-2025" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025</a><br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>Conference information: Libraries Lead Forum 2025 <a href="https://www.qnl.qa/en/libraries-lead-forum-2025/agenda" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025/agenda</a></p> |
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