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Analisis Graf Pengetahuan Terarah

Analisis Graf Pengetahuan Terarah merepresentasikan pengetahuan faktual sebagai multigraf berlabel terarah dari entitas (simpul) dan relasi bertipe (tepi terarah), memungkinkan penalaran terstruktur, inferensi, dan penemuan atas kumpulan data heterogen yang besar. Arah tepi mengkodekan hubungan asimetris seperti 'ditulis-oleh', 'menyebabkan', atau 'merupakan-tipe', menjadikan graf lebih kaya secara semantik daripada alternatif tak terarah.

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Sumber

  1. Hogan, A., Blomqvist, E., Cochez, M., d'Amato, C., Melo, G. D., Gutierrez, C., ... & Polleres, A. (2021). Knowledge graphs. ACM Computing Surveys, 54(4), 1–37. DOI: 10.1145/3447772
  2. Wang, Z., Zhang, J., Feng, J., & Chen, Z. (2014). Knowledge Graph Embedding by Translating on Hyperplanes. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1), 1112–1119. link

Cara menyitasi halaman ini

ScholarGate. (2026, June 3). Directed Knowledge Graph Analysis (Graph-Based Knowledge Representation and Reasoning). ScholarGate. https://scholargate.app/id/network-analysis/directed-knowledge-graph-analysis

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ScholarGateDirected Knowledge Graph Analysis (Directed Knowledge Graph Analysis (Graph-Based Knowledge Representation and Reasoning)). Diakses 2026-06-15 dari https://scholargate.app/id/network-analysis/directed-knowledge-graph-analysis · Set data: https://doi.org/10.5281/zenodo.20539026