Difference between revisions of "Wikiseealso: Suggesting Tangentially Related Concepts ( See Also Links ) for Wikipedia Articles"
(Information about: Wikiseealso: Suggesting Tangentially Related Concepts ( See Also Links ) for Wikipedia Articles) |
(Adding wikilinks) |
||
| Line 1: | Line 1: | ||
| − | '''Wikiseealso: Suggesting Tangentially Related Concepts ( See Also Links ) for Wikipedia Articles''' - scientific work related to Wikipedia quality published in 2017, written by Sahiti Labhishetty, Ayesha Siddiqa, Rajivteja Nagipogu and Sutanu Chakraborti. | + | '''Wikiseealso: Suggesting Tangentially Related Concepts ( See Also Links ) for Wikipedia Articles''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Sahiti Labhishetty]], [[Ayesha Siddiqa]], [[Rajivteja Nagipogu]] and [[Sutanu Chakraborti]]. |
== Overview == | == Overview == | ||
| − | Wikipedia is the pervasive knowledge source for widely utilized applications like | + | Wikipedia is the pervasive knowledge source for widely utilized applications like [[Google]]’s Knowledge Graph, IBM’s Watson and Apple’s Siri system. [[Wikipedia]] articles contain internal links and See also section links. According to Wikipedia, one of the purposes of See also links is to enable readers to explore tangentially related topics. Currently, Wikipedia relies on human judgments for adding See also links. Authors attempt to automate the process of See also recommendation by utilizing the aspects of Wikipedia articles like category knowledge, Backlink and the ESA concept vector similarity and external knowledge retrieved by web search engine. Authors proposed ensemble based approach combines similarities obtained from these aspects to give a final prediction score. Authors evaluate approach on datasets of Wikipedia articles and present empirical comparison and case studies results with the state-of-the art approaches. Authors envisage that this work will aid [[Wikipedia editors]] and readers to facilitate information search. |
Revision as of 11:35, 11 July 2019
Wikiseealso: Suggesting Tangentially Related Concepts ( See Also Links ) for Wikipedia Articles - scientific work related to Wikipedia quality published in 2017, written by Sahiti Labhishetty, Ayesha Siddiqa, Rajivteja Nagipogu and Sutanu Chakraborti.
Overview
Wikipedia is the pervasive knowledge source for widely utilized applications like Google’s Knowledge Graph, IBM’s Watson and Apple’s Siri system. Wikipedia articles contain internal links and See also section links. According to Wikipedia, one of the purposes of See also links is to enable readers to explore tangentially related topics. Currently, Wikipedia relies on human judgments for adding See also links. Authors attempt to automate the process of See also recommendation by utilizing the aspects of Wikipedia articles like category knowledge, Backlink and the ESA concept vector similarity and external knowledge retrieved by web search engine. Authors proposed ensemble based approach combines similarities obtained from these aspects to give a final prediction score. Authors evaluate approach on datasets of Wikipedia articles and present empirical comparison and case studies results with the state-of-the art approaches. Authors envisage that this work will aid Wikipedia editors and readers to facilitate information search.
