Machine learningNetwork science
知识图谱分析
知识图谱分析是一种框架，用于将结构化的事实知识表示、存储和推理为由实体和类型化关系组成的有向图。实体（节点）和关系（边）表示为主语-谓语-宾语三元组，从而能够跨生物医学研究、电子商务和科学文献等领域的异构数据源进行丰富的查询、推理和集成。
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来源
- Ehrlinger, L. & Wöß, W. (2016). Towards a Definition of Knowledge Graphs. In Proceedings of the SEMANTICS Posters and Demos Track (SEMANTiCS 2016). CEUR Workshop Proceedings, vol. 1695. link ↗
- Hogan, A., Blomqvist, E., Cochez, M., d'Amato, C., Melo, G. de, Gutierrez, C., Kirrane, S., Gayo, J. E. L., Navigli, R., Neumaier, S., Ngomo, A.-C. N., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J., Staab, S., & Zimmermann, A. (2021). Knowledge Graphs. ACM Computing Surveys, 54(4), 71. DOI: 10.1145/3447772 ↗
如何引用本页
ScholarGate. (2026, June 3). Knowledge Graph Analysis (Semantic Network Representation and Reasoning). ScholarGate. https://scholargate.app/zh/network-analysis/knowledge-graph-analysis
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