Topic Structure Mining based on Wikipedia and Web Search
Makoto Nakatani · 2008
This paper proposes a method for extracting topic terms and analyzing characteristics of topic terms by using the structual features of Wikipedia, the free encyclopedia, and Web search. Existing method can't extract topic terms for multiple terms, and extracted terms contain both general terms and special terms for user's requests. Our method enables to extract topic terms for multiple terms by improving existing methods, and analyze generality and specialty of each topic terms by using the structural features of Wikipedia like sections and links. It supports user's understanding of the topic by showing how widely or narrowly the terms are used.