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Acquiring ontological knowledge from query logs

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Acquiring ontological knowledge from query logs
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. Categories and Subject Descriptors I.2.6, I.2.7 [Learning & Natural Language Processing]: Knowledge Acquisition, Text Analysis. General Terms Experimentation, Human Factors, Languages Keywords Named Entity, Ontology, Knowledge Acquisition, Query Logs.
Satoshi Sekine, Hisami Suzuki
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Satoshi Sekine, Hisami Suzuki
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