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作 者:林木 束哲[3] 李童心 王维平 LIN Mu;SHU Zhe;LI Tongxin;WANG Weiping(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China;Unit 92941 of the PLA,Huludao 125001,China;Institute for Defense Technology and Strategic Studies,National University of Defense Technology,Changsha 410073,China)
机构地区:[1]国防科技大学系统工程学院,湖南长沙410073 [2]中国人民解放军92941部队,辽宁葫芦岛125001 [3]国防科技大学国防科技战略研究智库,湖南长沙410073
出 处:《系统工程与电子技术》2024年第12期4074-4082,共9页Systems Engineering and Electronics
摘 要:知识图谱提供了图结构化的知识存储方式,可以实现对非结构化知识的有效管理,但对于信息技术项目文本的管理来说,通用的知识抽取方法仍然难以获取符合要求的知识。对此,本文提出了基于依存句法规则的抽取框架,通过结合依存分析和句法规则来解决这一问题。该框架首先通过构建依存句法结构来扩展和融合实体,形成实体间的上下位关系,基于实体的上下位关系建立实体间的关系,并利用超边来解决实体间的多元关系建模问题。最后,以案例实验验证了所提方法的可行性。Knowledge graphs provide a graphical structured knowledge storage method,which can effectively manage unstructured knowledge.However,for the management of information technology project texts,general knowledge extraction methods still find it difficulty to obtain satisfactory knowledge.Therefore,an extraction framework based on dependency syntax rules that addresses the aforementioned problem by combining dependency analysis and syntax rules is proposed.The proposed framework firstly expands and integrates entities by constructing a dependency syntax structure and forms hyponymy relationships between entities.Then,it establishes relationships between entities based on their hyponymy relationships and solves the issue of multivariate relationships modeling between entities using hyperedges.Finally,the feasibility of the proposed method is verified through a case experiment.
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