Operational Requirements Analysis Method Based on Question Answering of WEKG

IF 1.9 3区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Zhiwei Zhang, Yajie Dou, Xiangqian Xu, Yufeng Ma, Jiang Jiang, Yuejin Tan
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引用次数: 0

Abstract

The weapon and equipment operational requirement analysis (WEORA) is a necessary condition to win a future war, among which the acquisition of knowledge about weapons and equipment is a great challenge. The main challenge is that the existing weapons and equipment data fails to carry out structured knowledge representation, and knowledge navigation based on natural language cannot efficiently support the WEORA. To solve above problem, this research proposes a method based on question answering (QA) of weapons and equipment knowledge graph (WEKG) to construct and navigate the knowledge related to weapons and equipment in the WEORA. This method firstly constructs the WEKG, and builds a neutral network-based QA system over the WEKG by means of semantic parsing for knowledge navigation. Finally, the method is evaluated and a chatbot on the QA system is developed for the WEORA. Our proposed method has good performance in the accuracy and efficiency of searching target knowledge, and can well assist the WEORA.
基于 WEKG 问题解答的运行需求分析方法
武器装备作战需求分析(WEORA)是打赢未来战争的必要条件,其中武器装备知识的获取是一项巨大挑战。主要挑战在于现有武器装备数据无法进行结构化知识表示,基于自然语言的知识导航无法有效支持 WEORA。为解决上述问题,本研究提出了一种基于武器装备知识图谱(WEKG)问题解答(QA)的方法来构建和导航 WEORA 中的武器装备相关知识。该方法首先构建了武器装备知识图谱(WEKG),然后通过语义解析在WEKG上构建了一个基于中立网络的问答系统,用于知识导航。最后,对该方法进行了评估,并为 WEORA 开发了一个基于 QA 系统的聊天机器人。我们提出的方法在搜索目标知识的准确性和效率方面都有很好的表现,可以很好地辅助 WEORA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Systems Engineering and Electronics
Journal of Systems Engineering and Electronics 工程技术-工程:电子与电气
CiteScore
4.10
自引率
14.30%
发文量
131
审稿时长
7.5 months
期刊介绍: Information not localized
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