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Design and Implementation of Intelligent Knowledge Service System for Aerospace Military Experts

机译：航空航天军校专家智能知识服务体系的设计与实现

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摘要

Aiming at the actual needs of the current military management platform, such as the lack of intelligent knowledge service support, combined with the characteristics of the aerospace military field of knowledge structure dispersion, high acquisition cost, and difficulty in sharing. After sorting out the main problems in the aerospace military knowledge service system in detail, a new intelligent knowledge service model is proposed: Construct business models and decision support model libraries based on the triple extraction method of deep machine learning, Build an intelligent question answering model through intelligent machine autonomous learning technology. And use key technologies, such as intelligent machine learning and intelligent analysis to drive business decisions, etc., to achieve the construction of an intelligent knowledge service system for aerospace military experts. The system comprehensively improves the multi-source data processing capabilities, data model algorithms, processing capabilities and data application display capabilities of the knowledge service system in the aerospace military field. It realizes fast, convenient and accurate knowledge service application, and provides users with comprehensive, instant and efficient aerospace expert knowledge and decision data support.
机译：旨在目前的军事管理平台的实际需求，如缺乏智能知识服务支持，结合航空航天军事领域的知识结构分散，高收购成本和分享难度。在详细分类航空航天军事知识服务系统的主要问题之后，提出了一种新的智能知识服务模式：构建商业模式和决策支持模型库，基于深机学习的三重提取方法，构建一个智能问题应答模型通过智能机自主学习技术。并使用关键技术，如智能机器学习和智能分析，推动业务决策等，实现航空航天军事专家智能知识服务体系的构建。该系统全面提高了航空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，处理能力和数据应用程序显示能力。它实现了快速，方便和准确的知识服务应用程序，并为用户提供全面，即时和高效的航空航天专家知识和决策数据支持。

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