Difference between revisions of "Wikipedia Editing History in Dbpedia: Extracting and Publishing the Encyclopedia Editing Activity as Linked Data"

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'''Wikipedia Editing History in Dbpedia: Extracting and Publishing the Encyclopedia Editing Activity as Linked Data''' - scientific work related to Wikipedia quality published in 2016, written by Fabien Gandon, Raphaël Boyer, Olivier Corby and Alexandre Monnin.
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'''Wikipedia Editing History in Dbpedia: Extracting and Publishing the Encyclopedia Editing Activity as Linked Data''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Fabien Gandon]], [[Raphaël Boyer]], [[Olivier Corby]] and [[Alexandre Monnin]].
  
 
== Overview ==
 
== Overview ==
DBpedia is a huge dataset essentially extracted from the content and structure of Wikipedia. Authors present a new extraction producing a linked data representation of the editing history of Wikipedia pages. This supports custom querying and combining with other data providing new indicators and insights. Authors explain the architecture, representation and an immediate application to monitoring events.
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DBpedia is a huge dataset essentially extracted from the content and structure of [[Wikipedia]]. Authors present a new extraction producing a linked data representation of the editing history of Wikipedia pages. This supports custom querying and combining with other data providing new [[indicators]] and insights. Authors explain the architecture, representation and an immediate application to monitoring events.

Revision as of 08:17, 4 July 2019

Wikipedia Editing History in Dbpedia: Extracting and Publishing the Encyclopedia Editing Activity as Linked Data - scientific work related to Wikipedia quality published in 2016, written by Fabien Gandon, Raphaël Boyer, Olivier Corby and Alexandre Monnin.

Overview

DBpedia is a huge dataset essentially extracted from the content and structure of Wikipedia. Authors present a new extraction producing a linked data representation of the editing history of Wikipedia pages. This supports custom querying and combining with other data providing new indicators and insights. Authors explain the architecture, representation and an immediate application to monitoring events.