Triple Trustworthiness Measurement for Knowledge Graph

@article{Jia2019TripleTM,
  title={Triple Trustworthiness Measurement for Knowledge Graph},
  author={Shengbin Jia and Yang Xiang and Xiaojun Chen and Kun Wang and E. Shijia},
  journal={The World Wide Web Conference},
  year={2019}
}
The Knowledge graph (KG) uses the triples to describe the facts in the real world. [...] Key Method The model is a crisscrossing neural network structure. It synthesizes the internal semantic information in the triples and the global inference information of the KG to achieve the trustworthiness measurement and fusion in the three levels of entity level, relationship level, and KG global level. We analyzed the validity of the model output confidence values, and conducted experiments in the real-world dataset…Expand
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