中国包装产业大数据知识图谱应用系统的设计

目的针对目前包装产业存在的产业链长、数据大而散、包装领域知识不全面等问题,设计一个中国包装产业大数据知识图谱应用系统。方法从行业高度定义涵盖包装领域全生态的分类体系,结合人工智能中知识图谱的最新技术,对政府信息、工商信息、行业信息、学术论文、全球包装专利等互联网上各类数据进行自动采集汇聚,抽取出知识信息,融合成一个涵盖资讯、政策、会议、标准、论文、专利、企业、产品、高校、机构和专家等十几类信息的包装知识图谱知识库。结果系统主要功能包括数据采集、知识图谱和终端应用,实现了包装产业大数据的图谱探索、产业链图、数据报告和关联搜索。结论该系统使用方便,可从多视图、多维度获取包装产业相关数据,提升行业的数字化和信息化水平,加速中国包装行业的智能化产业升级,促进包装产业逐步向智能、绿色、集约、创新方向发展。

Design of Big Data Knowledge Graph Application System for China Packaging Industry

The work aims to design a big data knowledge graph application system for China packaging industry in terms of the problems existing in the packaging industry, such as the long industrial chain, large and scattered data, and incomplete knowledge in the packaging field. From the industry level, the comprehensive classification system covering the whole field of packaging was defined, and the latest technology of knowledge graph in artificial intelligence was combined to automatically collect and aggregate various types of data on the Internet such as government information, business information, industry information, academic papers, and global packaging patents, and extract knowledge into a knowledge base of packaging knowledge graph covering information, policies, conferences, standards, papers, patents, companies, products, universities, institutions and experts et al. The main functions of the system included data acquisition, knowledge graph and terminal application, which realized graph exploration, industry chain diagram, data report and association search of big data in packaging industry. The system which is easy to use can obtain relevant data of packaging industry from multi-view and multi-dimension to improve the digitalization and informationization level of the industry, accelerate the upgrading of intelligent industry in China packaging industry, and promote the development of the packaging industry to gradually move toward smart, green, intensive and innovative directions.