Knowledge-Based Information Retrieval System for Enterprise Documents

Abstract

Large enterprises accumulate massive volumes of unstructured documents during daily operations. Traditional keyword-based retrieval methods often fail to capture semantic relationships and contextual information. This paper proposes a knowledge-based information retrieval system that integrates document preprocessing, semantic annotation, and rule-based reasoning mechanisms. The system constructs structured knowledge representations from enterprise documents and supports multi-dimensional query processing. Case studies show that the proposed system significantly improves retrieval accuracy and user satisfaction in complex information search scenarios.