Construction of business Korean intelligent Q&A system based on knowledge graph

Knowledge graph is a remarkable research direction in the field of artificial intelligence (AI), which is leading data processing technology to new heights with its excellent data organization and management capabilities. It accurately records entities and their interrelationships in a highly structured manner, demonstrating high efficiency and accuracy in handling complex data. At the same time, machine translation (MT) technology continues to receive attention from both academia and industry, with the core aim of eliminating language barriers and promoting global information flow and cultural integration. With the acceleration of globalization, MT is playing an increasingly important role in various fields such as business, education, and tourism. On this basis, this article proposes an innovative solution: building a knowledge graph based business Korean intelligent Q&A system. The system cleverly integrates deep learning (DL) technology, enabling natural and smooth interaction with users, and providing instant and accurate answers to business Korean language questions raised by users. The experimental results show that the system exhibits excellent accuracy and practicality in the field of business Korean question answering.