领域科技服务知识图谱数据集

数据集主要以知识图谱形式用于刻画科技服务资源的内容与关系，支持各类科技服务资源的属性和关系描述。数据来源于项目组科技服务资源池自建的专利、标准、项目、服务机构、专家等资源，采用自研的实体抽取技术对爬取的术语和关系进行抽取，然后采用人工参与的方式半自动的建立科技服务资源知识图谱。数据集基于neo4j图数据库构建，由apoc工具导出neo4j数据库得到相应的csv文件，共844MB数据。This dataset is primarily constructed as a knowledge graph to characterize the content and relationships of technology service resources, and supports the description of attributes and relationships for various types of technology service resources. The data is sourced from self-built resources including patents, standards, projects, service organizations, experts and others in the project team's technology service resource pool. The self-developed entity extraction technology is employed to extract crawled terms and their relationships, followed by the semi-automatic construction of the technology service resource knowledge graph with manual involvement. This dataset is built on the Neo4j graph database, and the corresponding CSV files are exported from the Neo4j database via the APOC tool, with a total data volume of 844 MB.

搜集汇总

背景与挑战

背景概述

该数据集以知识图谱形式刻画科技服务资源的内容与关系，数据来源于专利、标准、项目等资源，通过实体抽取和人工参与半自动构建。基于neo4j图数据库导出为csv文件，总数据量约为844MB。