.png)
Conference
Since 2019, Waseda and Keio Universities have operated Primo VE in a shared environment while facing discovery challenges especially visible in Japanese. This session discusses CJK discovery, content visibility, and AI in user services.
It connects three areas: Japanese search, Japanese content, and AI. First, we show how Japanese-language search exposes challenges in segmentation, normalization, and the gap between system logic and user expectations. Second, we examine Japanese content visibility in Primo VE, including metadata quality in the CKB, linking gaps in the CDI, and the difficulty of improving coverage for smaller language communities. Third, we consider how these conditions shape AI performance, which depends on the discoverability and quality of underlying content.
By connecting search, content, and AI, this session highlights multilingual equity and the need to raise the visibility of CJK requirements in product priorities across the Ex Libris ecosystem.