Automatic Verification of "isa" Relations Based on Features

Author

Liu, Lei ; Zhang, Sen ; Diao, Luhong ; Yan, ShuYing ; Cao, Cungen

Author_Institution

Coll. of Appl. Sci., Beijing Univ. of Technol., Beijing, China

Volume

2

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

70

Lastpage

74

Abstract

Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are changed into a set of production rules. Then the candidate "isa" relations acquired from Chinese corpus is verified with multi-features production rules. Experimental results demonstrate good performance of the method.

Keywords

iterative methods; knowledge acquisition; knowledge verification; text analysis; Chinese corpus; isa relation automatic verification; iterative method; knowledge acquisition; multi-features production rules; Computers; Data mining; Educational institutions; Fuzzy systems; Instruction sets; Iterative methods; Knowledge acquisition; Natural language processing; Ontologies; Production;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.498

Filename

5358549