Utilizing Wikipedia in Categorizing Topic Related Blogs into Facets

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Utilizing Wikipedia in Categorizing Topic Related Blogs into Facets
Authors
Daisuke Yokomoto
Kensaku Makita
Takehito Utsuro
Yasuhide Kawada
Tomohiro Fukuhara
Publication date
2011
DOI
10.1016/j.sbspro.2011.10.595
Links
Original

Utilizing Wikipedia in Categorizing Topic Related Blogs into Facets - scientific work related to Wikipedia quality published in 2011, written by Daisuke Yokomoto, Kensaku Makita, Takehito Utsuro, Yasuhide Kawada and Tomohiro Fukuhara.

Overview

Abstract Given a search query, most existing search engines simply return a ranked list of search results. However, it is often the case that those search result documents consist of a mixture of documents that are closely related to various sub- topics. This paper proposes a framework of categorizing blog posts according to their sub-topics. In framework, the sub-topic of each blog post is identified by utilizing Wikipedia entries as a knowledge source and each Wikipedia entry title is considered as a sub-topic label. Authors achieve to quickly overview the distribution of sub-topics over the whole collected blog posts.