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

Abstract

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.