Support Technology of Weapon Equipment Selection Based on Question and Answer

Mengmeng Zeng, Jia Hao, Yan Yan*, Lei Zhao, Zhicheng Zhu, Jianjun Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In order to solve the problem of unfriendly interface of the existing search engines, multi-source heterogeneous and uneven quality of knowledge and multiple selection factors in the process of weapon equipment selection, a question-answer (QA)-based support technology of weapon equipment selection was proposed, improving the timeliness and efficiency of decision-makers to obtain information required and overcoming the inability to guarantee the credibility of the decisions made. The knowledge graph was adopted to deal with the problem of multi-source heterogeneous knowledge in the field of weapon equipment. And through the formulation of 8 categories of question templates and an improved question similarity algorithm that incorporates lexical part-of-speech features, a combination of frequently asked questions (FAQ) queries and template matching based question and answer methods were used to realize a QA system that supports weapon equipment selection. Experiments show that the QA system based on this technology can effectively identify the selection questions raised by the decision-makers, and provide appropriate answers to the decision-makers in a relatively short time under the condition that the knowledge required for the question exists in the weapon equipment knowledge graph, thereby improving The timeliness and convenience of equipment selection decision-makers to make correct decisions.

Original languageEnglish
Title of host publicationLecture Notes on Data Engineering and Communications Technologies
PublisherSpringer Science and Business Media Deutschland GmbH
Pages129-141
Number of pages13
DOIs
Publication statusPublished - 2022

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
Volume80
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520

Keywords

  • Knowledge graph
  • Question and answer system
  • Weapon equipment selection

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