烟草文献数据知识检索服务平台的设计与实现

为实现烟草文献知识的高效管理，加快烟草文献资源从数据保障型向知识服务型转变，基于B/S架构，遵循J2EE开发标准规范，利用大数据分析和自然语言处理（Natural Language Processing，NLP）技术，研究构建了烟草文献数据知识检索服务平台。采用先进的检索技术和知识发现算法，结合知识图谱可视化分析技术，对烟草文献数据资源进行深度融合与挖掘，实现了烟草科技文献的智能检索、智能推荐、智能分析、科技评价等功能，有效提升了烟草文献数据资源获取精准度，促进了烟草科技成果转化。 

Design and implementation of knowledge retrieval service platform for tobacco literatures

In order to manage tobacco literature knowledge high efficiently and accelerate the transformation of tobacco literature resources from data security type to knowledge service type, a retrieval service platform for tobacco literatures based on B/S architecture was configured by using big data analysis and natural language processing technologies and following J2EE development standard specifications. Through combining advanced retrieval technology and knowledge discovery algorithm with knowledge graph visual analysis technology, the platform could deeply integrate and mine tobacco literature resources and realize intelligent retrieval, intelligent recommendation, intelligent analysis, scientific evaluation and other functions. The service platform improves the accuracy of tobacco literature resource acquisition and promotes the transformation of tobacco scientific and technological achievements effectively.