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Uchanganuzi wa Grafu ya Maarifa Iliyoongozwa

Uchanganuzi wa Grafu ya Maarifa Iliyoongozwa huwakilisha maarifa ya kimuktadha kama grafu nyingi zilizoongozwa na lebo za vitu (nodi) na mahusiano yaliyofafanuliwa (pembe zilizoongozwa), kuwezesha utaratibu wa kufikiri, dhana, na ugunduzi juu ya data kubwa za aina mbalimbali. Mwelekeo wa pembe huweka maingiliano yasiyo sawia kama vile 'imeandikwa-na', 'husababisha', au 'ni-ya', na kuifanya grafu kuwa na maana zaidi kuliko njia mbadala zisizoongozwa.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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ScholarGateDirected Knowledge Graph Analysis (Directed Knowledge Graph Analysis (Graph-Based Knowledge Representation and Reasoning)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/network-analysis/directed-knowledge-graph-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026