Corpus ID: 195347521

TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs

@article{Jia2018TTMFAT,
  title={TTMF: A Triple Trustworthiness Measurement Frame for Knowledge Graphs},
  author={Shengbin Jia and Yang Xiang and Xiaojun Chen and E. Shijia},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.09414}
}
The Knowledge graph (KG) uses the triples to describe the facts in the real world. It has been widely used in intelligent analysis and understanding of big data. In constructing a KG, especially in the process of automation building, some noises and errors are inevitably introduced or much knowledges is missed. However, learning tasks based on the KG and its underlying applications both assume that the knowledge in the KG is completely correct and inevitably bring about potential errors… Expand
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