Difference between revisions of "Wikipedia Quality/List"

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(Created page with "* Approach for Building High-Quality Domain Ontology Based on the Chinese Wikipedia - authors propose a new approach for building high-quality domain ontology based on the...")
 
 
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* [[Approach for Building High-Quality Domain Ontology Based on the Chinese Wikipedia]] - authors propose a new approach for building high-quality domain ontology based on the Chinese Wikipedia. In contrast to traditional Wikipedia ontologies, such as DBpedia and YAGO, the domain ontology built in this paper consist of highquality articles. Authors make use of the C4.5 algorithm to hunt high-quality articles from specific domain in Wikipedia.
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* [[Cooperation and Quality in Wikipedia]]: Wikipedia articles accrete edits according to a simple mechanism - edits beget edits. Topics of high interest or relevance are thus naturally brought to the forefront of quality.
* [[Computational Trust in Web Content Quality: A Comparative Evalutation on the Wikipedia Project]] - authors present a method to predict Wikipedia articles trustworthiness based on computational trust techniques and a deep domain-specific analysis.
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* [[Information Quality Work Organization in Wikipedia]]: quality discussions and processes on WIkipedia are strongly connected to the data itself and are accessible to the general public. This openness makes it particularly easy for researchers to study a particular kind of collaborative work that is highly distributed and that has a particularly substantial focus, not just on error detection but also on error correction.

Latest revision as of 06:20, 25 September 2022

  • Cooperation and Quality in Wikipedia: Wikipedia articles accrete edits according to a simple mechanism - edits beget edits. Topics of high interest or relevance are thus naturally brought to the forefront of quality.
  • Information Quality Work Organization in Wikipedia: quality discussions and processes on WIkipedia are strongly connected to the data itself and are accessible to the general public. This openness makes it particularly easy for researchers to study a particular kind of collaborative work that is highly distributed and that has a particularly substantial focus, not just on error detection but also on error correction.