面向烟草领域的科研知识图谱服务平台关键技术研究

Key technologies of the service platform of scientific research knowledge graph in tobacco field

【背景和目的】为解决烟草行业各系统中的多源、异构科研数据有效管理与利用问题,为烟草行业科研活动提供科研决策支持。【方法】通过将领域知识图谱与烟草科研知识管理相结合,按照知识图谱自顶向下的构建流程,设计烟草科研知识实体及关系的数据模型,研发烟草科研知识图谱服务平台。并对烟草科研知识图谱应用服务中的知识实体及关系发现、科研社区发现等关键技术进行重点研发。【结果和结论】烟草科研知识图谱服务平台的研发,有效促进了烟草科研数据的高效管理、利用,以及科研知识的深度挖掘。

[Background]This study aims to realize effective management and utilization of multi-source and heterogeneous scientific research data in various systems of tobacco industry,and to provide scientific research decision support for scientific research activities in tobacco industry.[Methods]By combining domain knowledge graph with tobacco scientific knowledge management,the data model of tobacco scientific research knowledge entity and relationship is designed according to the top-down construction process of knowledge graph,and the service platform of scientific research knowledge graph of tobacco industry is developed.The platform focuses on research and development of key technologies such as knowledge entity,relationship discovery and scientific research community discovery in tobacco scientific research knowledge graph application services.[Results and Conclusion]The research and development of service platform of tobacco research knowledge graph can effectively promote the efficient management and utilization of tobacco research data,and facilitate the in-depth mining of scientific research knowledge.