A category-driven approach to deriving domain specific subset of Wikipedia
|A category-driven approach to deriving domain specific subset of Wikipedia|
|Author(s)||Korshunov A., Turdakov D., Jeong J., Lee M., Moon C.|
|Published in||CEUR Workshop Proceedings|
|Keyword(s)||Unknown (Extra: Appropriate techniques, Domain specific, High quality, Knowledge base, Wikipedia, Knowledge based systems, Metadata, Research, Text processing, Websites)|
|Article||BASE, CiteSeerX, Google Scholar|
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A category-driven approach to deriving domain specific subset of Wikipedia is a 2011 conference paper written in English by Korshunov A., Turdakov D., Jeong J., Lee M., Moon C. and published in CEUR Workshop Proceedings.
While many researchers attempt to build up different kinds of ontologies by means of Wikipedia, the possibility of deriving high-quality domain specific subset of Wikipedia using its own category structure still remains undervalued. We prove the necessity of such processing in this paper and also propose an appropriate technique. As a result, the size of knowledge base for our text processing framework has been reduced by more than order, while the precision of disambiguating musical metadata (ID3 tags) has decreased from 98% to 64%.
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