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2026年国际暑期学校全球大师系列讲座：Prof. Marcia Lei Zeng
- 来源：
- 学校官网
- 收录时间：
- 2026-07-18 03:03:17
- 时间：
- 2026-07-23 10:00:00
- 地点：
- 加入Zoom会议
- 报告人：
- Prof. Marcia Lei Zeng
- 学校：
- 中国人民大学
- 关键词：
- smart data, AI, cultural heritage, metadata, knowledge organization, digital humanities, machine-readable data
- 简介：
- Smart data means the trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, revealing the most important V(value) of big data. In the new era of AI, smart data may be efficiently processed using AI technology while also being used by AI to generate intelligent applications and produce high-quality data. However, since information-bearing cultural heritage (CH) entities are usually non-textual and non-machine-readable, generating smart data for diverse CH resources presents complexities in data processing. This webinar will bring some special cases in recent innovative research projects in the world, involving processing of manuscripts (carried on different materials), symbols, images, 3Ds, sound, scent, feeling, museum objects, rock arts, etc., revealing the challenges and potentials of using AI-assisted automatic processing for them across domains.
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报告介绍：
题目：Generating Smart Data for Diverse Cultural Heritage Resources in the New Era of AI -- Exploring the Opportunities and Challenges
AI时代文化遗产可信智慧数据生成 – 探讨机遇与挑战
简介:
Smart data means the trusted, contextualized, relevant, cognitive, predictive, and consumable data at any scale, revealing the most important V(value) of big data. In the new era of AI, smart data may be efficiently processed using AI technology while also being used by AI to generate intelligent applications and produce high-quality data. However, since information-bearing cultural heritage (CH) entities are usually non-textual and non-machine-readable, generating smart data for diverse CH resources presents complexities in data processing. This webinar will bring some special cases in recent innovative research projects in the world, involving processing of manuscripts (carried on different materials), symbols, images, 3Ds, sound, scent, feeling, museum objects, rock arts, etc., revealing the challenges and potentials of using AI-assisted automatic processing for them across domains.
报告人介绍：
Dr. Marcia Lei Zeng is a Professor Emeritus of Information Science at Kent State University (USA) and the recipient of the 2024 ASIS&T Award of Merit. She holds a Ph.D. from University of Pittsburgh's School of Computing and Information and M.A. from Wuhan University's School of Information Management. Her research interests include knowledge organization systems, metadata, and digital humanities, with over 150 research papers and six books. Her projects received funding from the NSF, IMLS, OCLC, Fulbright, etc. She has chaired and served on committees, working groups, and executive boards including IFLA, SLA, ASIS&T, NISO, ISO, DCMI, ISKO, iSchools, and W3C. Currently, she is chairing the DCMI Education Committee, while serving as a member of the DCMI Governing Board and ISKO Board of Directors.
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