目标专业领域知识图谱构建与应用初探  

Exploration of Construction and Application of Target Professional Field Knowledge Graph

作　　者：马璐[1] 牛珂[1] MA Lu;NIU Ke(Institute of Remote Sensing Information of Beijing,Beijing 100011,China)

机构地区：[1]北京市遥感信息研究所,北京100011

出　　处：《现代信息科技》2023年第23期156-161,共6页Modern Information Technology

基　　金：装备预研项目(30503040311)。

摘　　要：知识图谱技术能够将海量大数据中的信息、数据以及关联关系汇聚为知识网络,实现用户智能化检索与意图分析推理。通过对知识图谱构建过程中本体构建,多源异构互联网数据的实体抽取、关系抽取、图谱更新与维护等关键技术进行研究,构建了军事目标专业领域知识图谱,并在可视化查询、智能问答、高价值关系推荐等方向进行了应用探索,有效提高了数据的使用效益,为军事情报分析和知识应用提供了一种有效的工具和方法。Knowledge Graph technology can aggregate information,data and correlations and relationships in massive Big Data into a knowledge network to realize intelligent user retrieval and intent analysis and reasoning.The key technologies of ontology construction,entity extraction,relation extraction,graph updating and maintenance based on multi-source internet data are studied.And the military target professional field Knowledge Graph is constructed.It can be used in the visual query,intelligent question-and-answer,high-value relationship recommendations and other directions for application.It effectively improves the use efficiency of data and provides an effective tool and method for military intelligence analysis and knowledge application.

关 键 词：知识图谱 军事目标 实体抽取 图谱更新 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]