【摘要】 为实现对烟草科研数据的高效管理、融合和深度挖掘，基于知识图谱技术，设计并实现一个基于B/S架构，遵循J2EE规范的烟草科技知识图谱服务平台。平台实现基础知识查询、烟草科研人员机构画像、合作网络分析、关联路径发现、科研社区发现、研究热点分析等功能。测试结果表明，该平台通过对烟草科研数据深入挖掘分析和多角度多层级的可视化展示，实现烟草科研领域数据到信息再到知识的知识发现过程。该平台的应用可以为烟草科研人员准确把握研究方向，寻找潜在合作伙伴，提高科研活动效率提供支持。更多还原

【Abstract】 In order to achieve efficient management, integration and in-depth mining of tobacco research data, a tobacco science and technology knowledge graph service platform based on B/S architecture and following J2EE specifications is designed and implemented. The platform implemented functions such as basic knowledge inquiry, tobacco scientific research institute portrait, cooperative network analysis, related path discovery, scientific research community discovery, and research hotspot analysis. The test results show that the platform realizes the knowledge discovery process from data to information to knowledge in the field of tobacco research through in-depth mining and analysis of tobacco research data and multi-angle and multi-level visual display. The application of the platform can provide support for tobacco researchers to accurately grasp the research direction, find potential partners, and improve the efficiency of scientific research activities.更多还原