Difference between revisions of "Domain-Specific Semantic Relatedness from Wikipedia Structure: a Case Study in Biomedical Text"
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| − | '''Domain-Specific Semantic Relatedness from Wikipedia Structure: a Case Study in Biomedical Text''' - scientific work related to Wikipedia quality published in 2015, written by Armin Sajadi, Evangelos E. Milios, Vlado Keselj and Jeannette C. M. Janssen. | + | '''Domain-Specific Semantic Relatedness from Wikipedia Structure: a Case Study in Biomedical Text''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Armin Sajadi]], [[Evangelos E. Milios]], [[Vlado Keselj]] and [[Jeannette C. M. Janssen]]. |
== Overview == | == Overview == | ||
| − | Wikipedia is becoming an important knowledge source in various domain specific applications based on concept representation. This introduces the need for concrete evaluation of Wikipedia as a foundation for computing semantic relatedness between concepts. While lexical resources like WordNet cover generic English well, they are weak in their coverage of domain specific terms and named entities, which is one of the strengths of Wikipedia. Furthermore, semantic relatedness methods that rely on the hierarchical structure of a lexical resource are not directly applicable to the Wikipedia link structure, which is not hierarchical and whose links do not capture well defined semantic relationships like hyponymy. | + | Wikipedia is becoming an important knowledge source in various domain specific applications based on concept representation. This introduces the need for concrete evaluation of [[Wikipedia]] as a foundation for computing semantic [[relatedness]] between concepts. While lexical resources like [[WordNet]] cover generic English well, they are weak in their coverage of domain specific terms and [[named entities]], which is one of the strengths of Wikipedia. Furthermore, semantic relatedness methods that rely on the hierarchical structure of a lexical resource are not directly applicable to the Wikipedia link structure, which is not hierarchical and whose links do not capture well defined semantic relationships like hyponymy. |
Revision as of 09:39, 15 November 2019
Domain-Specific Semantic Relatedness from Wikipedia Structure: a Case Study in Biomedical Text - scientific work related to Wikipedia quality published in 2015, written by Armin Sajadi, Evangelos E. Milios, Vlado Keselj and Jeannette C. M. Janssen.
Overview
Wikipedia is becoming an important knowledge source in various domain specific applications based on concept representation. This introduces the need for concrete evaluation of Wikipedia as a foundation for computing semantic relatedness between concepts. While lexical resources like WordNet cover generic English well, they are weak in their coverage of domain specific terms and named entities, which is one of the strengths of Wikipedia. Furthermore, semantic relatedness methods that rely on the hierarchical structure of a lexical resource are not directly applicable to the Wikipedia link structure, which is not hierarchical and whose links do not capture well defined semantic relationships like hyponymy.
