A Novel Method of Extracting Domain Ontology Based on WordNet

Author

Zhou, Zili ; Wang, Yanna ; Gu, Junzhong

Author_Institution

Comput. Sci. & Technol. Dept., East China Normal Univ., Shanghai

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

376

Lastpage

381

Abstract

This paper presents a method of extracting domain ontology from WordNet. The novelty of the method is taking WordNet as one and only knowledge base, this can improve the efficiency of domain ontology building. In our method, kernel concepts are given by domain experts firstly, then IC-based semantic similarity algorithm is used to extract domain concepts from WordNet, in the end, domain concepts are added to the initial ontology based on the adding rules, after all the concepts being added, the domain ontology is generated. We take the domain of information content security as a example, and the experiment shows the validity of our method.

Keywords

ontologies (artificial intelligence); security of data; IC-based semantic similarity algorithm; WordNet; domain experts; domain ontology extraction; information content security; Buildings; Computer science; Data mining; Educational institutions; Humans; Kernel; Ontologies; Paper technology; Physics; Software engineering; WordNet; domain ontology; information content;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.712

Filename

4722638