Attribute extraction and scoring: A probabilistic approach

@article{Lee2013AttributeEA,
  title={Attribute extraction and scoring: A probabilistic approach},
  author={Taesung Lee and Zhongyuan Wang and Haixun Wang and Seung-won Hwang},
  journal={2013 IEEE 29th International Conference on Data Engineering (ICDE)},
  year={2013},
  pages={194-205}
}
Knowledge bases, which consist of concepts, entities, attributes and relations, are increasingly important in a wide range of applications. We argue that knowledge about attributes (of concepts or entities) plays a critical role in inferencing. In this paper, we propose methods to derive attributes for millions of concepts and we quantify the typicality of the attributes with regard to their corresponding concepts. We employ multiple data sources such as web documents, search logs, and existing… CONTINUE READING
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