Acquiring ontological knowledge from query logs

Authors:
Satoshi Sekine;Hisami Suzuki
Affiliations:
New York University, New York, NY;Microsoft Research, Redmond, WA
Venue:
Proceedings of the 16th international conference on World Wide Web
Year:
2007

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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.