Difference between revisions of "A Support Tool for Deriving Domain Taxonomies from Wikipedia"
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| − | '''A Support Tool for Deriving Domain Taxonomies from Wikipedia''' - scientific work related to Wikipedia quality published in 2011, written by Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan and Ofer Weintraub. | + | '''A Support Tool for Deriving Domain Taxonomies from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Lili Kotlerman]], [[Zemer Avital]], [[Ido Dagan]], [[Amnon Lotan]] and [[Ofer Weintraub]]. |
== Overview == | == Overview == | ||
| − | 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. | + | 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. |
Revision as of 13:43, 4 August 2019
A Support Tool for Deriving Domain Taxonomies from Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Lili Kotlerman, Zemer Avital, Ido Dagan, Amnon Lotan and Ofer Weintraub.
Overview
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.
