【摘要】 针对目前军事管理平台缺乏智慧知识服务支撑等实际需求,结合航天军事领域知识结构分散、获取成本高、共享困难的特点,在详细梳理航天军事知识服务体系存在的主要问题后,提出全新的智能知识服务模型。基于深度机器学习的三元组抽取方式构建业务模型和决策支持模型库,通过智能机器自主学习技术构建智能问答模型;利用智能机器学习和智能分析驱动业务决策等关键技术,实现了航天军事专家智能知识服务系统的建设。该系统全面提升了航天军事领域知识服务系统的多源数据处理能力、数据模型算法和处理能力及数据应用展示能力,实现了快速、便捷、精准的知识服务应用,为用户提供了全面、即时、高效的航天专家知识和决策数据支撑。更多还原

【Abstract】 In view of the lack of the support for intelligent knowledge services on the current military management platforms,a new intelligent knowledge service model is proposed in combination with the characteristics of scattered knowledge structure,high knowledge acquisition cost and difficult knowledge sharing in aerospace military field,and after combing the main problems existing in the aerospace military knowledge service system in detail. A business model and decision support model library based on the triplet extraction mode in the deep machine learning is built. An intelligent questioning & answering model is built by autonomous learning technology of intelligent machine. Intelligent machine learning and intelligent analysis are used to drive business decision making and other key technologies to construct the intelligent knowledge service system of aerospace military experts. The established system can comprehensively improve the multi-source data processing capability,data model algorithm and processing capabilities,and data application & display capabilities of the knowledge service system in the aerospace military field,can realize fast,convenient and accurate knowledge service application,and can provide users with comprehensive,instant and efficient aerospace expert knowledge and decision-making data support.更多还原