Design and Implementation of a Web-Based Management System Architecture

Abstract

The digital transformation of traditional library services necessitates the development of intelligent, web-based management systems to enhance operational efficiency and user experience. This paper details the design and implementation of a Web-based Intelligent Library Management Information System (ILMIS). The system architecture is built upon a modular B/S (Browser/Server) model, integrating a React-based frontend for an interactive user interface with a Spring Boot backend for robust business logic and data management. Its core intelligence is derived from a multi-faceted AI engine: a hybrid recommendation algorithm—combining collaborative filtering with content-based analysis—powers personalized resource discovery, while natural language processing (NLP) techniques enable semantic search and automated book classification. Furthermore, predictive analytics are employed for demand forecasting and optimal resource allocation. The implementation successfully demonstrates the system's capability to streamline core library functions, including cataloging, circulation, and patron management, while significantly reducing the latency of information retrieval. A six-month pilot deployment and user study revealed a 35% increase in resource utilization and a marked improvement in user satisfaction metrics. The ILMIS presented herein not only provides a practical, scalable solution for modern libraries but also serves as a conceptual framework for integrating artificial intelligence into the core of knowledge management and service delivery, paving the way for truly adaptive and data-driven library ecosystems.