WWW2007 Poster Details
Poster Title:
Acquiring Ontological Knowledge from Query Logs
Authors:
  • Satoshi Sekine (New York University)
  • Hisami Suzuki (Microsoft Research)
Abstract:
We present a method for acquiring ontological knowledge using search query logs. We first use query logs to identify important contexts associated with terms belonging to a semantic category; we then use these contexts to harvest new words belonging to this category. Our evaluation on selected categories indicates that the method works very well to help harvesting terms, achieving 85% to 95% accuracy in categorizing newly acquired terms.
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