Journal paper for Artificial Intelligence in Information retrieval in digital libraries - tlooto, The Most Powerful AcademicGPT

The integration of Artificial Intelligence (AI) into Information Retrieval (IR) is fundamentally reshaping the landscape of digital libraries, offering solutions that extend far beyond the limitations of traditional keyword-based systems. AI technologies—particularly natural language processing (NLP), machine learning (ML), and deep learning—are propelling digital libraries toward smarter, more adaptive, and context-aware retrieval ecosystems. Recent developments underscore the transformation from basic full-text search to semantically rich, user-centric IR functionalities. Early visions for digital libraries envisioned concept-based, semantic retrieval that could bridge the gap between user intent and vast, heterogeneous content collections—a goal being increasingly realized through AI-powered approaches[1]. Systems such as CiteSeerX exemplify this progress by deploying AI in key functions: metadata extraction, author disambiguation, document classification, clustering, deduplication,