Process / pipeline
文本知识图谱构建
知识图谱构建是一个文本挖掘流程，它将非结构化文本转化为实体及其之间关系的结构化图谱。借鉴 Hogan 等人（2021）的综合以及 Nickel 等人（2016）的关系机器学习综述，它将知识表示为由带标签的边（关系）连接起来的节点（如人、地点、组织等实体），并服务于语义搜索、推荐系统和推理。
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来源
- Hogan, A. et al. (2021). Knowledge Graphs. ACM Computing Surveys, 54(4), 1-37. DOI: 10.1145/3447772 ↗
- Nickel, M. et al. (2016). A Review of Relational Machine Learning for Knowledge Graphs. Proceedings of the IEEE, 104(1), 11-33. DOI: 10.1109/JPROC.2015.2483592 ↗
如何引用本页
ScholarGate. (2026, June 1). Knowledge Graph Construction from Text. ScholarGate. https://scholargate.app/zh/text-mining/knowledge-graph-nlp
Which method?
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