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Suggesting Japanese Subject Headings using Web Information Resources

Hiroshi UEDA, Harumi MURAKAMI

ASIS&T Annual Meeting - 2006 (ASIS&T 2006)
Austin, Texas, November 3-9, 2006


Abstract

We proposed a method that suggests BSH4 subject headings according to user queries when pattern matching algorithms fail to produce a hit. As user queries are diverse and unpredictable, we explored a method that makes a suggestion even when the query is a new word. We investigated the use of information obtained from Wikipedia, the Amazon Web Service (AWS), and Google. We implemented the method, and our system suggests ten BSH4 subject headings according to user queries.

Two experimental results suggest that (1) our method is useful when users input known terms, and (2) the combination of Wikipedia, AWS, and Google is useful for suggesting subject headings.


  
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