Library and Information Science
Overview
Library and information science examines how people and institutions create, organize, preserve, find, and use information. Its approaches include cataloging and subject indexing, information retrieval, digitization and computational analysis of collections, and studies of users and scholarly communication. AI methods such as supervised text classification, language models, knowledge graphs, and OCR pipelines are being applied to automate and extend these tasks, while bibliometric and machine-learning analyses map changes in research topics and methods. A central tension is how to evaluate automated systems: exact matches to catalog headings may diverge from conceptual relevance and professional judgment, and performance on synthetic or curated benchmarks may not carry over to real collections.
Latest papers
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