PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Support Tool for Deriving Domain Taxonomies from Wikipedia
Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan and Ofer Weintraub
In: Recent Advances in Natural Language Processing (RANLP) 2011, 12-14 September 2011, Hissar, Bulgaria.


Organizing data into category hierarchies (taxonomies) is useful for content discovery, search, exploration and analysis. In industrial settings targeted taxonomies for specific domains are mostly created manually, typically by domain experts, which is time consuming and requires a high level of expertise. This paper presents an algorithm and an implemented interactive system for automatically generating target-domain taxonomies based on the Wikipedia Category Hierarchy. The system also enables human post-editing, facilitated by intelligent assistance.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:8619
Deposited By:Lili Kotlerman
Deposited On:15 February 2012