Difference between revisions of "Research on Building Chinese Ontology from Wikipedia Category System"
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| − | '''Research on Building Chinese Ontology from Wikipedia Category System''' - scientific work related to Wikipedia quality published in 2008, written by Song Qianqian. | + | '''Research on Building Chinese Ontology from Wikipedia Category System''' - scientific work related to [[Wikipedia quality]] published in 2008, written by [[Song Qianqian]]. |
== Overview == | == Overview == | ||
| − | Authors take the category system in Wikipedia as a conceptual network.Authors label the semantic relations between categories using methods based on connectivity in the network and lexico-syntactic matching.As a result authors are able to derive a Chinese ontology containing a large amount of subsumption,i,e.is-a,relations.Finally,an experimental was carried out which compared the human subject extraction results to system result,and the recall and the precision showed that model do a good job. | + | Authors take the category system in [[Wikipedia]] as a conceptual network.Authors label the semantic relations between [[categories]] using methods based on connectivity in the network and lexico-syntactic matching.As a result authors are able to derive a Chinese [[ontology]] containing a large amount of subsumption,i,e.is-a,relations.Finally,an experimental was carried out which compared the human subject extraction results to system result,and the recall and the precision showed that model do a good job. |
Revision as of 01:52, 10 November 2019
Research on Building Chinese Ontology from Wikipedia Category System - scientific work related to Wikipedia quality published in 2008, written by Song Qianqian.
Overview
Authors take the category system in Wikipedia as a conceptual network.Authors label the semantic relations between categories using methods based on connectivity in the network and lexico-syntactic matching.As a result authors are able to derive a Chinese ontology containing a large amount of subsumption,i,e.is-a,relations.Finally,an experimental was carried out which compared the human subject extraction results to system result,and the recall and the precision showed that model do a good job.
