Utilizing wikipedia in categorizing topic related blogs into facets
|Utilizing wikipedia in categorizing topic related blogs into facets|
|Author(s)||Yokomoto D., Makita K., Utsuro T., Kawada Y., Fukuhara T.|
|Published in||Procedia - Social and Behavioral Sciences|
|Keyword(s)||Blog, Faceted Search, Search Engine, Topic Analysis, Wikipedia|
|Article||BASE, CiteSeerX, Google Scholar|
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Utilizing wikipedia in categorizing topic related blogs into facets is a 2011 conference paper written in English by Yokomoto D., Makita K., Utsuro T., Kawada Y., Fukuhara T. and published in Procedia - Social and Behavioral Sciences.
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 our 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. We achieve to quickly overview the distribution of sub-topics over the whole collected blog posts.
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