Kentaro Torisawa, Stijn De Saeger, Yasunori Kakizawa, Jun'ichi Kazama, M. Murata, Daisuke Noguchi, Asuka Sumida
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引用次数: 14
Abstract
With this research we present a system that suggests valuable complementary information relevant to a user's topic of interest, in the form of keywords. For this purpose we have automatically constructed a Web search directory called TORISHIKI-KAI from a large collection of Web documents, using state of the art knowledge acquisition methods. TORISHIKI-KAI maps out the use context of the terms input by the user, and classifies topically related search terms according to semantic categories such as potential troubles, methods or tools in order to help the user find potentially valuable "unknown unknowns".
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