Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words

Author

Shirakawa, Masumi ; Nakayama, Kotaro ; Hara, Takahiro ; Nishio, Shojiro

Author_Institution

Dept. of Multimedia Eng., Osaka Univ., Osaka, Japan

Volume

1

fYear

2011

fDate

22-27 Aug. 2011

Firstpage

274

Lastpage

277

Abstract

In this paper, we propose a method which acquires related words (entities) from multiple words by naturally disambiguating their meaning and considering their contexts. In addition, we introduce a bootstrapping method for improving the coverage of association relations. Experimental result shows that our method can acquire related words depending on the contexts of multiple words compared to the ESA-based method.

Keywords

Internet; Web sites; bootstrapping; data mining; encyclopaedias; query processing; thesauri; ESA-based method; Web page classification; Wikipedia mining; Wikipedia sets; association thesaurus; bootstrapping method; context-oriented related entity acquisition; query expansion; query-free search; semantic based information retrieval; Context; Electronic publishing; Encyclopedias; Internet; Semantics; Thesauri; Wikipedia mining; association thesaurus; bootstrapping; context dependency;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence and Intelligent Agent Technology (WI-IAT), 2011 IEEE/WIC/ACM International Conference on

Conference_Location

Lyon

Print_ISBN

978-1-4577-1373-6

Electronic_ISBN

978-0-7695-4513-4

Type

conf

DOI

10.1109/WI-IAT.2011.72

Filename

6036765