Research on Intelligent Question-Answering Services for Military Knowledge Graphs Based on Open Source Intelligence in the Era of Digital Wisdom
Fan Junjie,Ma Haiqun,Liu Xingli
(School of computer and Information Engineering, Heilongjiang University of Science and Technology, Harbin 150020)
(Information resource management research center of Heilongjiang University, Harbin 150080)
[Objective] In the era of big data and artificial intelligence, this study utilizes domain knowledge graph-based intelligent technology to achieve precise natural language semantic parsing for human-machine interactive intelligent question-answering services.
[Methods] In this study, a pipeline approach is employed to construct a knowledge graph-based retrieval-based question-answering system. Firstly, the Roberta pre-training model and data augmentation techniques are combined with the knowledge graph to address the issues of low accuracy in question classification and named entity recognition in low-resource environments. Furthermore, based on the characteristics of military entities, an entity linking technique using three-dimensional features is proposed. To solve the problem of relation matching between simple and some complex intent questions, the Roberta pre-training model and dependency parsing are utilized. Finally, answer extraction is accomplished through the application of heuristic rules.
[Results] The question-answering method proposed in this study achieved an average accuracy of 91.94% in the evaluation, indicating the practicality and accuracy of the system in providing efficient military question-answering intelligent services. This question-answering method successfully fulfills the requirements for intelligent services in the military domain.
[Limitations] Due to the limited knowledge scale of the existing military knowledge graph, the supported scope of question-answering needs further expansion.
[Conclusions] This study provides an efficient and precise human-machine interactive military intelligent question-answering service supported by intelligent technology.
范俊杰, 马海群, 刘兴丽.
数智时代下开源情报的军事知识图谱问答智能服务研究
[J]. 数据分析与知识发现, 10.11925/infotech.2096-3467.2023.0422.
Fan Junjie, Ma Haiqun, Liu Xingli.
Research on Intelligent Question-Answering Services for Military Knowledge Graphs Based on Open Source Intelligence in the Era of Digital Wisdom
. Data Analysis and Knowledge Discovery, 0, (): 1-.