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基于Neo4j的数字人文领域知识图谱构建

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Based on the knowledge graph of digital humanities field of Neo4j

摘要: [目的/意义]在深度数字化发展的背景下,数字人文成为跨学科深度融合的发展领域,探究数字人文领域未来的研究热点可以促进不同学科之间的交流和合作,推动数字人文领域的跨学科发展,为人文学科的创新和发展提供新的思路和方法。[方法/过程]将作者、机构、关键词作为节点数据,合作、作者单位、相关主题作为关系数据,基于Neo4j图数据库进行存储,构建数字人文知识图谱,并利用Cypher查询语言和GDS算法库对数字人文领域的核心作者、研究热点等相关内容进行分析。[结果/结论]研究通过对现有数字人文领域相关研究的内容进行分析,为数字人文领域未来的研究提供借鉴及思考。

Abstract: [Purpose/Significance]In the context of in-depth digital development, digital humanities has become a development field with deep interdisciplinary integration, and exploring the future research hotspots in the field of digital humanities can promote exchanges and cooperation between different disciplines, promote the interdisciplinary development of digital humanities, and provide new ideas and methods for the innovation and development of humanities. [Method/Process] Authors, institutions, and keywords were used as node data, and cooperation, author affiliation, and related topics were used as relational data, which were stored based on the Neo4j graph database to construct a digital humanities knowledge graph, and the core authors, research hotspots and other related contents in the field of digital humanities were analyzed by using Cypher query language and GDS algorithm library.[Result/Conclusion]This study analyzes the content of existing research in the field of digital humanities, and provides reference and thinking for future research in the field of digital humanities.

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[V1] 2024-09-29 10:28:22 PSSXiv:202410.00109V1 下载全文
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