A Cross-Field Construction Method of Chinese Tourism Knowledge Graph based on Expasion and Adjustment of Entities

Tourism involves comprehensive knowledge in many fields, such as geography, history, food, experience, etc., but now the result of knowledge retrieval and query of tourism topic is usually the knowledge in a single field, lacking effective correlation in different domains. Knowledge graph uses structured way or visualization technology to describe entity and entity relationship knowledge, and provides high-quality knowledge retrieval service for search engine users. However, now it is difficult to integrate field knowledge obtained from a variety of data sources to construct a domain knowledge graph. In this paper, we proposed a method from two aspects to construct the tourism knowledge graph. At one side, using specific tourism entities as seeds to establish different relationships such as historical association, food association, geographical association to integrate tourism entity attributes, increase the value of tourism entity attributes, so that the entity information in the tourism knowledge graph can be efficiently expanded; at another side, based on the process of cross-field entity adjustment with the help of annotation and scoring from domain experts and knowledge graph users, so as to construct the Chinese tourism knowledge graph efficiently and effectively. All these can lay the foundation for improving the retrieval and reply quality of tourism knowledge.