The AI Metadata Assistant in Ex Libris’s Alma Metadata Editor suggests metadata during cataloguing — from titles, authors, content notes, even book cover images. Cataloguers review, accept, modify or reject each suggestion.
AI Metadata Assistant in Alma Read More »
PublishDrive’s AI Metadata Generator analyses a manuscript (EPUB, DOCX or PDF) and suggests titles, subtitles, blurbs, keywords, categories (Amazon, BISAC, Thema), series names, pen names and pricing.
AI Metadata Generator Read More »
Alison Coles, Data Manager & Programmer at Boydell & Brewer, uses ChatGPT and Claude to generate ONIX keywords: feed in publicly available metadata (ISBN, title, description), refine prompts iteratively, and get keywords that improve discoverability in digital marketplaces.…
AI-Generated ONIX Keywords with ChatGPT Read More »
Category-Connect is MDPI’s tool for sorting scientific papers into research areas, assigning categories to manuscripts consistently instead of ad hoc.
Molecular Connections built a deep indexing service for a major chemical information provider: indexing key concepts, substances, reactions and structures across disciplines, including content from non-English journals. The multilingual pipeline handles Chinese, Japanese and Russian journals with automation,…
Deep Indexing of Chemistry Content Read More »
Seeklight is JSTOR’s AI tool for archivists — generating high-quality metadata through a multi-step process of classification, prompts and human oversight. Co-developed with practitioners as part of JSTOR’s digital stewardship work, and purpose-built to support archivists rather than…
Molecular Connections built a high-throughput Keyword Recommendation Service for IFIS, the not-for-profit food and health sciences publisher. Deep learning models — semantic similarity, contextual vectorisation, bi-directional transformers — analyse the Food Science and Technology Abstracts database and suggest…
Keyword Recommendation Service (KRS) Read More »
Klopotek partnered with a specialist AI company to build ML into its metadata management: automating metadata tasks and improving classification to help book discoverability across digital platforms.
Metadata Optimization in Book Publishing Read More »
Molecular Connections built an alert system that sends society members topic-specific notifications, using machine learning and semantic enrichment to keep alerts relevant instead of flooding inboxes.
ML-Based Topic Alerts for Society Members Read More »
Reedy.ai, from CHAPTR, is a metadata optimisation platform for publishers: it analyses existing catalogue metadata and suggests improvements, with a particular focus on reviving backlist titles.
