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EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph. (arXiv:2210.12228v1 [cs.CL])
Oct. 25, 2022, 1:17 a.m. | Bowen Zhao, Jiuding Sun, Bin Xu, Xingyu Lu, Yuchen Li, Jifan Yu, Minghui Liu, Tingjian Zhang, Qiuyang Chen, Hanming Li, Lei Hou, Juanzi Li
cs.CL updates on arXiv.org arxiv.org
Web and artificial intelligence technologies, especially semantic web and
knowledge graph (KG), have recently raised significant attention in educational
scenarios. Nevertheless, subject-specific KGs for K-12 education still lack
sufficiency and sustainability from knowledge and data perspectives. To tackle
these issues, we propose EDUKG, a heterogeneous sustainable K-12 Educational
Knowledge Graph. We first design an interdisciplinary and fine-grained ontology
for uniformly modeling knowledge and resource in K-12 education, where we
define 635 classes, 445 object properties, and 1314 datatype properties in …
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