Difference between revisions of "Graph-Based Domain-Specific Semantic Relatedness from Wikipedia"
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+ | {{Infobox work | ||
+ | | title = Graph-Based Domain-Specific Semantic Relatedness from Wikipedia | ||
+ | | date = 2014 | ||
+ | | authors = [[Armin Sajadi]] | ||
+ | | doi = 10.1007/978-3-319-06483-3_42 | ||
+ | | link = https://link.springer.com/content/pdf/10.1007%2F978-3-319-06483-3_42.pdf | ||
+ | }} | ||
'''Graph-Based Domain-Specific Semantic Relatedness from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Armin Sajadi]]. | '''Graph-Based Domain-Specific Semantic Relatedness from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Armin Sajadi]]. | ||
== Overview == | == Overview == | ||
Human made ontologies and lexicons are promising resources for many text mining tasks in domain specific applications, but they do not exist for most domains. Authors study the suitability of [[Wikipedia]] as an alternative resource for ontologies regarding the Semantic Relatedness problem. | Human made ontologies and lexicons are promising resources for many text mining tasks in domain specific applications, but they do not exist for most domains. Authors study the suitability of [[Wikipedia]] as an alternative resource for ontologies regarding the Semantic Relatedness problem. |
Revision as of 11:59, 14 June 2020
Authors | Armin Sajadi |
---|---|
Publication date | 2014 |
DOI | 10.1007/978-3-319-06483-3_42 |
Links | Original |
Graph-Based Domain-Specific Semantic Relatedness from Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Armin Sajadi.
Overview
Human made ontologies and lexicons are promising resources for many text mining tasks in domain specific applications, but they do not exist for most domains. Authors study the suitability of Wikipedia as an alternative resource for ontologies regarding the Semantic Relatedness problem.