DocumentCode :
3221417
Title :
Wikipedia Mining for Huge Scale Japanese Association Thesaurus Construction
Author :
Nakayama, Kotaro ; Ito, Masahiro ; Hara, Takahiro ; Nishio, Shojiro
Author_Institution :
Osaka Univ., Suita
fYear :
2008
fDate :
25-28 March 2008
Firstpage :
1150
Lastpage :
1155
Abstract :
Wikipedia, a huge scale Web-based dictionary, is an impressive corpus for knowledge extraction. We already proved that Wikipedia can be used for constructing an English association thesaurus and our link structure mining method is significantly effective for this aim. However, we want to find out how we can apply this method to other languages and what the requirements, differences and characteristics are. Nowadays, Wikipedia supports more than 250 languages such as English, German, French, Polish and Japanese. Among Asian languages, the Japanese Wikipedia is the largest corpus in Wikipedia. In this research, therefore, we analyzed all Japanese articles in Wikipedia and constructed a huge scale Japanese association thesaurus. After constructing the thesaurus, we realized that it shows several impressive characteristics depending on language and culture.
Keywords :
Internet; data mining; dictionaries; natural languages; text analysis; thesauri; Japanese association thesaurus construction; Web-based dictionary; Wikipedia mining; knowledge extraction; Data mining; Dictionaries; Humans; Indium tin oxide; Information science; Natural languages; Thesauri; Uniform resource locators; Wikipedia; World Wide Web; Association Thesaurus; Link Structure Mining; Wikipedia Mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
Conference_Location :
Okinawa
Print_ISBN :
978-0-7695-3096-3
Type :
conf
DOI :
10.1109/WAINA.2008.37
Filename :
4483073
Link To Document :
بازگشت