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知识图谱在传播与成果服务中的应用研究

Research on the Application of Knowledge Graph in Communication and Achievement Services
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摘要 在数字经济与文化强国战略不断推进的背景下,出版传播、文化传承以及科技成果的记录与社会化服务等领域面临着信息碎片化、传播效率有限、服务精准度不足等挑战。知识图谱作为一种结构化的语义网络,已成为人工智能领域支撑信息整合与智能服务的核心技术。本文围绕知识图谱构建的全流程,描述了实体识别、关系抽取、事件抽取、实体对齐、实体补全和指代消解等关键环节,分析了各环节在知识图谱构建中的作用。在此基础上,重点探讨了知识图谱在出版内容优化与传播、文化遗产的保护与转化、科技成果的记录、转化与社会化服务等方面的应用价值。最后,本文总结当前研究存在的问题,展望知识图谱在相关领域未来发展的趋势与挑战,以期为该技术更好地赋能传播与成果服务提供理论参考与实践借鉴。 Against the backdrop of advancing the digital economy and the strategy of strengthening cultural prosperity,fields such as publishing and communication,cultural inheritance,as well as the documentation and socialized services of scientific and technological achievements are confronted with challenges including information fragmentation,limited communication efficiency,and insufficient service accuracy.As a structured semantic network,knowledge graph has become a core technology in the field of artificial intelligence that supports information integration and intelligent services.Focusing on the whole process of knowledge graph construction,this paper elaborates on key technologies such as entity recognition,relation extraction,event extraction,entity alignment,entity completion and anaphora resolution,and analyzes their roles in knowledge graph construction.On this basis,the present paper emphatically discusses the application value of knowledge graph in the optimization and communication of publishing content,the protection and transformation of cultural heritage,and the documentation,transformation and socialized services of scientific and technological achievements.Finally,this paper summarizes the existing problems in current research,and discusses the future development trends and challenges of knowledge graph in relevant fields,aiming to provide theoretical references and practical implications for better empowering communication and achievement services with this technology.
作者 黑蕾 万连城 徐悦甡 HEI LEI;WAN LIANCHENG;XU YUESHEN(Center of Journal Publication Xidian University,Xi’an Shaanxi 710071,China;School of Computer Science and Technology Xidian University,Xi’an Shaanxi 710071,China)
出处 《西安电子科技大学学报(社会科学版)》 2026年第1期63-70,共8页 Journal of Xidian University:Social Science Edition
基金 国家自然科学基金(62472338)。
关键词 知识图谱 实体识别 关系抽取 出版传播 文化传播 科技记录 社会化服务 knowledge graph named entity recognition relation extraction publishing communication cultural communication scientific and technological documentation socialized services
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