Application of Knowledge Graphs in Intelligent Search Engines
Cizhen Zhang, Yan Wang · Frontiers in artificial intelligence and applications · 2025
As a core technology of structured semantic networks, knowledge graphs significantly enhance the semantic understanding and reasoning capabilities of intelligent search engines. This paper systematically analyzes the applications of knowledge graphs in scenarios such as entity search, complex question answering, and related recommendations. It explores their technical implementation paths and validates their effectiveness through typical cases (Google Knowledge Graph, Baidu Zhixin). The aim of this paper is to study how knowledge graphs empower intelligent search engines, analyze their technical challenges and development directions, and look ahead to the future trends of the integration of knowledge graphs with large models and multi-modal technologies.