旅游知识图谱

旅游知识图谱由中国科学院计算技术研究所构建。原数据来源于高质量的半结构化数据源，存储采用Neo4j数据库。该旅游知识图谱包含59230个节点（7个洲，197个国家，1894个城市和57132个游玩地点）的872799条属性三元组以及节点之间的59223条关系三元组（如国家属于对应的洲，城市属于对应的国家，游玩地点属于对应的城市这样的层级关系等）。

The tourism knowledge graph was constructed by the Institute of Computing Technology, Chinese Academy of Sciences. Its original data is sourced from high-quality semi-structured datasets, and the graph is stored using the Neo4j graph database. This knowledge graph encompasses 59,230 nodes in total, which are categorized into 7 continents, 197 countries, 1,894 cities and 57,132 tourist attractions. It contains 872,799 attribute triples and 59,223 relational triples between nodes, including hierarchical relationships such as a country belonging to its corresponding continent, a city belonging to its corresponding country, and a tourist attraction belonging to its corresponding city.

搜集汇总

背景与挑战

背景概述

旅游知识图谱是一个由中国科学院计算技术研究所构建的数据库，使用Neo4j存储，包含全球范围内的旅游地理实体（如洲、国家、城市和游玩地点）及其属性与关系。该数据集涵盖59230个节点和超过93万条三元组，重点描述地理层级结构（如城市属于国家），适用于旅游信息分析和知识图谱应用，需通过线上申请流程获取共享访问。