基于知识图谱的包装产业大数据智能问答系统研究

Research on big data intelligent question answering system based on knowledge map for packaging industry

为了提高包装产业大数据分析和信息化管理能力,提出一种基于知识图谱的包装产业大数据智能问答系统设计方法,结合大数据挖掘技术和知识图谱特征提取技术,实现包装产业大数据智能融合和优化问答检索。构建包装产业大数据分布结构模型,采用关联规则调度方法进行大数据自适应融合调度,实现包装产业大数据的分块区域匹配,提取包装产业大数据的知识图谱集,对提取的包装产业大数据知识图谱采用子空间融合技术进行信息聚类处理,实现包装产业大数据的智能问答和检索设计。采用程序加载控制方法,将算法加载到DSP集成信息处理器中,实现包装产业大数据智能问答系统的集成开发。测试结果表明,该系统能有效实现包装产业大数据智能问答,大数据图谱的特征表达能力较强。

A design method of the big data intelligent question answering system based on the knowledge map for the pack aging industry is proposed to improve the big data analysis and informatization management abilities of the packaging industry. The big data mining technology and knowledge map feature extraction technology are combined to realize big data intelligent inte gration and question answering retrieval optimization of the packaging industry. The big data distribution structure model of the packaging industry is constructed. The big data adaptive fusion scheduling is conducted by adopting the association rule schedul ing method,so as to realize partition region matching of the packaging industry big data,and extract the knowledge map set of the packaging industry big data. The information clustering processing is conducted by using the subspace fusion technology for the extracted big data knowledge map of the packaging industry,so as to realize big data intelligent question answering and re trieval design of the packaging industry. The algorithm is loaded into the DSP integrated information processor by using the pro gram loading control method,so as to realize the integrated development of the big data intelligent question answering system for the packaging industry. The test results show that the system can effectively realize big data intelligent question answering for the packaging industry,and has a strong feature expression ability of the big data map.