Difference between revisions of "Semantic Representation of Provenance in Wikipedia"
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| − | '''Semantic Representation of Provenance in Wikipedia''' - scientific work related to Wikipedia quality published in 2010, written by Fabrizio Orlandi, Alexandre Passant and Pierre-Antoine Champin. | + | '''Semantic Representation of Provenance in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Fabrizio Orlandi]], [[Alexandre Passant]] and [[Pierre-Antoine Champin]]. |
== Overview == | == Overview == | ||
| − | Wikis are often considered as being a wide source of information. However, identifying provenance information about their content is crucial, whether it is for computing trust in public wiki pages or to identify experts in corporate wikis. In this paper, authors address this issue by providing a lightweight ontology for provenance management in wikis, based on the W7 model. Furthermore, authors showcase the use of model in a framework that computes provenance information in Wikipedia, also using DBpedia to compute provenance and contribution information | + | Wikis are often considered as being a wide source of information. However, identifying provenance information about their content is crucial, whether it is for computing trust in public wiki pages or to identify experts in corporate wikis. In this paper, authors address this issue by providing a lightweight [[ontology]] for provenance management in wikis, based on the W7 model. Furthermore, authors showcase the use of model in a framework that computes provenance information in [[Wikipedia]], also using [[DBpedia]] to compute provenance and contribution information |
Revision as of 10:23, 8 January 2020
Semantic Representation of Provenance in Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Fabrizio Orlandi, Alexandre Passant and Pierre-Antoine Champin.
Overview
Wikis are often considered as being a wide source of information. However, identifying provenance information about their content is crucial, whether it is for computing trust in public wiki pages or to identify experts in corporate wikis. In this paper, authors address this issue by providing a lightweight ontology for provenance management in wikis, based on the W7 model. Furthermore, authors showcase the use of model in a framework that computes provenance information in Wikipedia, also using DBpedia to compute provenance and contribution information
