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

CardsList

19 papers0 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. SHELF: A Synthetic Harness for Multi-Task Bibliographic Benchmarking

    Sep 2, 2026Michael J. BommaritoLLM EvaluationLibrary and Information Science

  2. Institutional Books - Enriched Text: A customizable multilingual open-source pipeline for denoising, deduplicating, and annotating OCR text at scale

    Aug 19, 2026David Lowry-Duda, Matteo Cargnelutti, Catherine Brobston +4Library and Information ScienceHistorical Document Processing

  3. Institutional Books - Visual Elements: An open-source pipeline for extracting, classifying, deduplicating, and captioning visual elements from digital book collections

    Aug 19, 2026Jimmy Mendez, Matteo Cargnelutti, David Lowry-Duda +5Historical Document ProcessingDocument Image Understanding

  4. Does generative AI supersede supervised XMLC? A Benchmark Study on Automated Subject Indexing with German Scientific Literature

    Jul 16, 2026Maximilian Kähler, Katja Konermann, Lisa Kluge +1Long-Tailed ClassificationMulti-Label Classification

  5. Non-synchronism in Global Usage of Research Methods in Library and Information Science from 1990 to 2019

    Jul 2, 2026Chengzhi Zhang, Liang TianLibrary and Information Science

  6. Gender Differences in Research Topic and Method Selection in Library and Information Science: Perspectives from Three Top Journals

    Jul 2, 2026Chengzhi Zhang, Siqi Wei, Yi Zhao +1Library and Information Science

  7. Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021

    Jun 30, 2026Chengzhi Zhang, Liang Tian, Heting ChuLibrary and Information Science

  8. Unveiling Novelty Evolution in the field of Library and Information Science in China

    Jun 29, 2026Chen Yang, Yuzhuo Wang, Chengzhi ZhangLibrary and Information Science

  9. Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities

    Jun 24, 2026Chengzhi Zhang, Yi Mao, Shuyu PengLibrary and Information ScienceBibliometric Analysis

  10. Gender Differences in Research Topic and Method Convergence among Collaborating Scholars in Library and Information Science

    Jun 20, 2026Chengzhi Zhang, Linlei Xie, Siqi WeiLibrary and Information Science

  11. Research Method Usage across Academic Ages in Library and Information Science: An Empirical Study (1990-2023)

    Jun 20, 2026Chengzhi Zhang, Jiayi Hao, Yi MaoLibrary and Information ScienceBibliometric Analysis

  12. Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science

    Jun 17, 2026Qiuyu Fang, Jiayi Hao, Chengzhi ZhangMulti-Label ClassificationLibrary and Information Science

  13. A Skill-Based AI Agentic Pipeline for Library of Congress Subject Indexing

    May 5, 2026Eric H. C. ChowLibrary and Information ScienceLLM Agents

  14. Transforming OPACs into Intelligent Discovery Systems: An AI-Powered, Knowledge Graph-Driven Smart OPAC for Digital Libraries

    Apr 1, 2026M. S. Rajeevan, B. Mini DeviLibrary and Information ScienceInformation Retrieval

  15. Prints in the Magnetic Dust: Robust Similarity Search in Legacy Media Images Using Checksum Count Vectors

    Mar 30, 2026Maciej Grzeszczuk, Kinga Skorupska, Grzegorz M. WójcikLibrary and Information Science

  16. An Extreme Multi-label Text Classification (XMTC) Library Dataset: What if we took "Use of Practical AI in Digital Libraries" seriously?

    Mar 11, 2026Jennifer D'Souza, Sameer Sadruddin, Maximilian Kähler +5Library and Information ScienceMulti-Label Classification