Domain Ontology Generation Based on WordNet and Internet

Author

Wang, Yanna ; Zhou, Zili

Author_Institution

Coll. of Phys. & Eng., Qufu Normal Univ., Qufu, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

5

Abstract

This paper presents a method of extracting domain ontology based on WordNet and Internet. Domain concepts are extracted from WordNet which contains concepts of almost all the fields. The extracting method is based on the IC-based semantic similarity, this paper gives a new model of semantic similarity which has better performance and is the guarantee of extracting domain concepts more accurately. In order to get the taxonomy relation between the domain concepts, the approach of taxonomy learning from Internet is given, which is based on the mutual information matrix. The generation method makes full use of the WordNet and Internet and can improve the efficiency of domain ontology generation.

Keywords

Internet; information retrieval; learning (artificial intelligence); matrix algebra; ontologies (artificial intelligence); text analysis; IC-based semantic similarity; Internet; domain concept extraction; domain ontology generation; mutual information matrix; taxonomy learning; wordnet; Data mining; Educational institutions; Humans; Intelligent structures; Internet; Mutual information; Ontologies; Physics; Software libraries; Taxonomy;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5302770

Filename

5302770