Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach

@inproceedings{Lin1998ExtractingCK,
  title={Extracting Classification Knowledge of Internet Documents with Mining Term Associations: A Semantic Approach},
  author={Shian-Hua Lin and Chi-Sheng Shih and Meng Chang Chen and Jan-Ming Ho and Ming-Tat Ko and Yueh-Ming Huang},
  booktitle={SIGIR},
  year={1998}
}
In this paper, we present a system that extracts and generalizes terms from Internet documents to represent classification knowledge of a given class hierarchy. We propose a measurement to evaluate the importance of a term with respect to a class in the class hierarchy, and denote it as support. With a given threshold, terms with high supports are sifted as keywords of a class, and terms with low supports are filtered out. To further enhance the recall of this approach, Mining Association Rules… CONTINUE READING