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作 者:沈卫 郑斌[1] 高依萌 于经纬 许彩霞[1] Shen Wei;Zheng Bin;Gao Yimeng;Yu Jingwei;Xu Caixia(Northern Institute of Science and Technology Information,Beijing 100089)
出 处:《情报理论与实践》2025年第3期26-31,40,共7页Information Studies:Theory & Application
基 金:国防科技工业局项目“国防科技情报领域通用认知引擎技术研究与应用”的研究成果,项目编号:JSQB202208B002。
摘 要:[目的/意义]在大国博弈日趋激烈的背景下,综合运用人工智能、大数据等智能化手段从错综复杂的信息中感知、融合、分析关键情报至关重要。[方法/过程]面向国防科技情报领域的通用认知引擎系统结合不同情报视角下的描述性信息,研究多维度标签本体构建方法。文章围绕情报特点深入研究情报知识表示与要素抽取方法,借鉴对比学习思想实现情报要素知识的融合与消歧,通过本体建模、实体关系抽取、语义对齐等技术自动化构建国防科技情报领域全景知识图谱,协同知识图谱强化大语言模型知识感知能力,通过检索增强生成技术优化轻量级大语言模型情报主题报告生成能力。[结果/结论]依托情报数据库构建国防科技情报资源库,通用认知引擎系统提供情报要素提取、情报知识溯源、情报主题报告生成等应用功能,推动大背景下“智能感知、辅助决策”的实现。[Purpose/significance]In the context of an increasingly intense power game,it is crucial to comprehensively utilize intelligent means such as artificial intelligence and big data to perceive,integrate,and analyze critical intelligence from intricate information.[Method/process]The unified cognitive engine system for defense technology intelligence integrates descriptive information from various intelligence perspectives to explore the construction of a multidimensional label ontology.Focusing on intelligence features,the representation and extraction of intelligence knowledge has been intensively studied.The fusion and disambiguation of intellectual element knowledge is achieved by leveraging the contrastive learning principle.An extensive knowledge graph for the defense technology intelligence field is automatically generated using techniques such as ontology modeling,entity relation extraction,and semantic alignment.Knowledge perception capabilities of large language models are supported by collaborative knowledge graphs.The generation capacity of lightweight large-scale intelligence topic reports is optimized through retrieval-enhanced generation techniques.[Result/conclusion]Building upon the intelligence database,a national defense science and technology intelligence resource library has been established.The unified cognitive engine system offers functionalities including intelligence element extraction,intelligence knowledge tracing,and intelligence thematic report generation,facilitating the achievement of“intelligent perception and decision-making support”within the broader context.
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