The ontology is expected to solve many language problems in text mining, translation, and web search. It can be constructed by some experts in small scale, but this is not scalable solution. Query log analysis (QLA) is alternative solution to construct ontology[11]. Through mining query logs, a basic ontology may be constructed automatically. However, QLA has some problems: not public, hard to evaluate, ambiguous to understand context. To solve those problems, we propose to use tagging information to construct ontology automatically. Tagging information overcome QLA`s problems and also has QLA`s strong points. In this paper, we quantitatively analyze tagging information from Allblog, which is the most popular metablog site in Korea, to construct the ontology. Specifically, we investigate user behavior in tagging and find tagging pattern.
이 논문에서는 블로고스피어의 태깅 행동으로부터 온톨로지 구축의 가능성을 분석하고, 널리 사용되는 태그들을 중심으로 태그간의 관계를 분석하는 방법을 제시하고 있다.
