基于百科数据的林业知识图谱的构建与应用

Construction and Application of Forestry Knowledge Graph Based on Encyclopedia Data

本文提出了基于百科数据的林业知识图谱构建方式。首先,通过Scrapy爬虫框架爬取Wikidata和互动百科上与林业相关的数据,构建了林业知识图谱的概念层、数据层;其次,在命名实体识别和分类的步骤中提出了构建林业实体类别分类表的方法来进行实体分类;最后,将构建好的林业知识图谱存储到Neo4j图数据库中,并搭建了一个简易的知识图谱网站,使用Django框架和ECharts实现知识图谱的网页展示。

This paper proposes a method of constructing forestry knowledge graph based on encyclopedia data. First,through the Scrapy crawler framework,crawling Wikidata and HuDong Baike on forestry-related data,the concept layer and data layer of the forestry knowledge graph are constructed. Secondly,the method of constructing the forestry entity category classification table is proposed in the step of named entity recognition and classification to classify entities. Finally,the constructed forestry knowledge graph is stored in the Neo4 j graph database,and a simple knowledge graph website is built. The Django framework and ECharts are used to realize the web display of the knowledge graph.