Document Search And Ranking System With Database Integration

Abstract

This project presents the development of an Intelligent Document Search and Ranking System with database integration, implemented using Java and SQLite. The system allows users to store multiple documents in a relational database and retrieve them for keyword-based searching and ranking. It applies text preprocessing techniques such as case normalization, punctuation removal, and word tokenization to ensure accurate keyword frequency calculation. A relevance score is calculated using keyword density, and documents are ranked in descending order through sorting algorithms to display the most relevant results first. The system also provides a simple visualization of ranked results to enhance clarity and user understanding. This project demonstrates the practical application of Data Structures and Algorithms (DSA), database connectivity using JDBC, text processing techniques, and result visualization, simulating the core functionality of a basic search engine in an academic environment.

Research Team