Mining Generalized Associations of Semantic Relations from Textual Web Content

@article{Jiang2007MiningGA,
  title={Mining Generalized Associations of Semantic Relations from Textual Web Content},
  author={Tao Jiang and Ah-Hwee Tan and Ke Wang},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2007},
  volume={19},
  pages={164-179}
}
Traditional text mining techniques transform free text into flat bags of words representation, which does not preserve sufficient semantics for the purpose of knowledge discovery. In this paper, we present a two-step procedure to mine generalized associations of semantic relations conveyed by the textual content of Web documents. First, RDF (resource description framework) metadata representing semantic relations are extracted from raw text using a myriad of natural language processing… CONTINUE READING

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