Difference between revisions of "Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia"
(Creating a page: Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia) |
(Adding wikilinks) |
||
| Line 1: | Line 1: | ||
| − | '''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 10:35, 8 September 2019
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.
