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人工智能对知识获取与发现的影响: 现状与未来发展的评估
This is the poster for CALA AP Chapter’s September Webinar Series 1 in 2024.
Position: 1052 (64 views)
Metadata Evolution: Adapting with Linked Data, BIBFRAME, and AI
Libraries today face rapid technological and landscape changes, necessitating a proactive approach to metadata management. This poster explores practical strategies for adapting to these shifts through the implementation of linked data and artificial…
Position: 9 (826 views)
Accuracy of Basic LLM Recall of LC Classifications
Presentation at the 2025 CALA Canada Annual Conference
Position: 1020 (136 views)
Leveraging AI for Workflow Enhancement in Technical Services: Case Studies from US and Hong Kong Libraries
Librarians worldwide are exploring the integration of Large Language Models (LLM), generative AI, and machine learning to enhance bibliographic data and technical service workflows. Recent research conducted by several US and Hong Kong librarians…
Position: 3 (1168 views)
AI, Cataloging & Metadata
This presentation explores the impact of Artificial Intelligence (AI) on cataloging and metadata, presenting examples of AI-based cataloging. It provides a few examples of utilizing ChatGPT, Bard and Bing Chat Enterprise for tasks such as creating a…
Position: 374 (431 views)
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Building a Community with Virtual Programs: QPL’s Story During & After COVID-19 Pandemic
Stories from Queens Public Library. Poster presented at the Chinese American Librarians Association (CALA) Annual Conference 2022 poster session.