Intelligent integration method of cultural and tourism knowledge based on knowledge graphs and large language models
Many regions in China are rich in cultural heritage,with cultural and tourism information spanning interdisciplinary knowledge from the humanities,nature,and archaeology.Relying on traditional tour guides and domain experts is insufficient for comprehensively addressing tourists'cultural and tourism queries,and classic keyword-based retrieval and matching knowledge Q&A systems struggle to manage such extensive and complex knowledge effectively.This presents significant challenges for tourists seeking comprehensive cultural tourism knowledge and enhancind cultural experiences.To tackle this issue,this paper proposes an intelligent integration method for cultural and tourism knowledge based on knowledge graphs and large language models(CTK-KG).This method employs large language models to automatically extract entities and relationships within the cultural and tourism domain,constructing a tightly connected cultural and tourism knowledge graph.Based on this graph,the language model is enhanced with targeted retrieval and generation capabilities to provide more comprehensive and accurate answers to cultural and tourism questions.Using the culturally rich Liangzhu region as an application example,an intelligent Q&A system is developed.Experimental results demonstrate that this method effectively integrates multi-domain cultural and tourism knowledge and provides high-quality answers to cultural and tourism questions.
large language modelknowledge graphcultural and tourism knowledgeintelligent responseLiangzhu
万方数据
维普
