Difference between revisions of "Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia"
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| + | | title = Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia | ||
| + | | date = 2010 | ||
| + | | authors = [[Masaaki Nagata]]<br />[[Yumi Shibaki]]<br />[[Kazuhide Yamamoto]] | ||
| + | | link = http://wing.comp.nus.edu.sg/~antho/W/W10/W10-3302.pdf | ||
| + | }} | ||
'''Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Masaaki Nagata]], [[Yumi Shibaki]] and [[Kazuhide Yamamoto]]. | '''Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2010, written by [[Masaaki Nagata]], [[Yumi Shibaki]] and [[Kazuhide Yamamoto]]. | ||
== Overview == | == Overview == | ||
Authors present a novel method for building a large-scale Japanese [[ontology]] from [[Wikipedia]] using one of the largest Japanese thesauri, Nihongo Goi-Taikei (referred to hereafter as iGoi-Taikeii) as an upper ontology. First, The leaf [[categories]] in the Goi-Taikei hierarchy are semi-automatically aligned with semantically equivalent [[Wikipedia categories]]. Then, their subcategories are created automatically by detecting is-a links in the Wikipedia category network below the junction using the knowledge dene d in Goi-Taikei above the junction. The resulting ontology has a well-dene d taxonomy in the upper level and a ne-gra ined taxonomy in the lower level with a large number of up-to-date instances. A sample evaluation shows that the precisions of the extracted categories and instances are 92.8% and 98.6%, respectively. | Authors present a novel method for building a large-scale Japanese [[ontology]] from [[Wikipedia]] using one of the largest Japanese thesauri, Nihongo Goi-Taikei (referred to hereafter as iGoi-Taikeii) as an upper ontology. First, The leaf [[categories]] in the Goi-Taikei hierarchy are semi-automatically aligned with semantically equivalent [[Wikipedia categories]]. Then, their subcategories are created automatically by detecting is-a links in the Wikipedia category network below the junction using the knowledge dene d in Goi-Taikei above the junction. The resulting ontology has a well-dene d taxonomy in the upper level and a ne-gra ined taxonomy in the lower level with a large number of up-to-date instances. A sample evaluation shows that the precisions of the extracted categories and instances are 92.8% and 98.6%, respectively. | ||
Revision as of 16:51, 20 October 2019
Authors | Masaaki Nagata Yumi Shibaki Kazuhide Yamamoto |
|---|---|
Publication date | 2010 |
Links | Original |
Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia - scientific work related to Wikipedia quality published in 2010, written by Masaaki Nagata, Yumi Shibaki and Kazuhide Yamamoto.
Overview
Authors present a novel method for building a large-scale Japanese ontology from Wikipedia using one of the largest Japanese thesauri, Nihongo Goi-Taikei (referred to hereafter as iGoi-Taikeii) as an upper ontology. First, The leaf categories in the Goi-Taikei hierarchy are semi-automatically aligned with semantically equivalent Wikipedia categories. Then, their subcategories are created automatically by detecting is-a links in the Wikipedia category network below the junction using the knowledge dene d in Goi-Taikei above the junction. The resulting ontology has a well-dene d taxonomy in the upper level and a ne-gra ined taxonomy in the lower level with a large number of up-to-date instances. A sample evaluation shows that the precisions of the extracted categories and instances are 92.8% and 98.6%, respectively.
