• Corpus ID: 72940850

Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes

@article{Jiang2019AttributeAI,
  title={Attribute Acquisition in Ontology based on Representation Learning of Hierarchical Classes and Attributes},
  author={Tianwen Jiang and Ming Liu and Bing Qin and Ting Liu},
  journal={ArXiv},
  year={2019},
  volume={abs/1903.03282}
}
Attribute acquisition for classes is a key step in ontology construction, which is often achieved by community members manually. This paper investigates an attention-based automatic paradigm called TransATT for attribute acquisition, by learning the representation of hierarchical classes and attributes in Chinese ontology. The attributes of an entity can be acquired by merely inspecting its classes, because the entity can be regard as the instance of its classes and inherit their attributes… 

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