Using Goi-Taikei as an Upper Ontology to Build a Large-Scale Japanese Ontology from Wikipedia
Masaaki Nagata, Yumi Shibaki, Kazuhide Yamamoto · 2010
We 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 “Goi-Taikei”) 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 defined in Goi-Taikei above the junction. The resulting ontology has a well-defined taxonomy in the upper level and a fine-grained 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. 1