Difference between revisions of "Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links"

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{{Infobox work
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| title = Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links
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| date = 2010
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| authors = [[Zareen Syed]]<br />[[Tim Finin]]
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| link = http://dl.acm.org/citation.cfm?id=1866785
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}}
 
'''Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Zareen Syed]] and [[Tim Finin]].
 
'''Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Zareen Syed]] and [[Tim Finin]].
  
 
== Overview ==
 
== Overview ==
 
Authors present an unsupervised and unrestricted approach to discovering an infobox like [[ontology]] by exploiting the inter-article links within [[Wikipedia]]. It discovers new slots and fillers that may not be available in the Wikipedia [[infoboxes]]. Authors results demonstrate that there are certain types of properties that are evident in the link structure of resources like Wikipedia that can be predicted with high accuracy using little or no linguistic analysis. The discovered properties can be further used to discover a class hierarchy. Authors experiments have focused on analyzing people in Wikipedia, but the techniques can be directly applied to other types of entities in text resources that are rich with hyperlinks.
 
Authors present an unsupervised and unrestricted approach to discovering an infobox like [[ontology]] by exploiting the inter-article links within [[Wikipedia]]. It discovers new slots and fillers that may not be available in the Wikipedia [[infoboxes]]. Authors results demonstrate that there are certain types of properties that are evident in the link structure of resources like Wikipedia that can be predicted with high accuracy using little or no linguistic analysis. The discovered properties can be further used to discover a class hierarchy. Authors experiments have focused on analyzing people in Wikipedia, but the techniques can be directly applied to other types of entities in text resources that are rich with hyperlinks.

Latest revision as of 06:35, 22 May 2020


Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links
Authors
Zareen Syed
Tim Finin
Publication date
2010
Links
Original

Unsupervised Techniques for Discovering Ontology Elements from Wikipedia Article Links - scientific work related to Wikipedia quality published in 2010, written by Zareen Syed and Tim Finin.

Overview

Authors present an unsupervised and unrestricted approach to discovering an infobox like ontology by exploiting the inter-article links within Wikipedia. It discovers new slots and fillers that may not be available in the Wikipedia infoboxes. Authors results demonstrate that there are certain types of properties that are evident in the link structure of resources like Wikipedia that can be predicted with high accuracy using little or no linguistic analysis. The discovered properties can be further used to discover a class hierarchy. Authors experiments have focused on analyzing people in Wikipedia, but the techniques can be directly applied to other types of entities in text resources that are rich with hyperlinks.