Webinar: Generating Smart Data for Diverse Cultural Heritage Resources in the New Era of AI — Exploring the Opportunities and Challenges
Sponsored by: ASIS&T South Asia Chapter in collaboration with the DCMI Education Committee
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, sound, scent, museum objects, rock arts, etc. The challenges and potentials of using AI-assisted automatic processing in this context, and the role of knowledge organization systems (KOS) in improving the quality of the AI applications are very important and necessitate better understanding.
Presenter
Marcia Lei Zeng, Professor Emeritus
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. Her research interests include knowledge organization systems, metadata, and digital humanities, with over 100 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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