A Semi-automatic Ontology Learning Based on WordNet and Event-based Natural Language Processing

Author

Zhou, Wen ; Liu, Zongtian ; Zhao, Yan ; Xu, Libin ; Chen, Guang ; Wu, Qiang ; Huang, Mei-li ; Qiang, Yu

Author_Institution

Shanghai Univ., Shanghai

fYear

2006

fDate

15-17 Dec. 2006

Firstpage

240

Lastpage

244

Abstract

Ontology is more and more popular in all kinds of knowledge management system, but the manual acquisition of ontologies still remains a tedious, cumbersome task. Meanwhile moving toward semi-automation or automation of ontology construction is a solution. In this paper, we proposed a semiautomatic ontology building approach. In this approach the system starts form a small core ontology constructed by domain experts and learns the concepts and taxonomic and non-taxonomic relations by use of the general ontology WordNet and event-based natural language processing technologies automatically to construct the aim ontology. Our experimental results indicate that the method offers an improvement in quality of ontology and reduction in the time-consumed.

Keywords

knowledge acquisition; knowledge management; learning (artificial intelligence); natural language processing; ontologies (artificial intelligence); text analysis; WordNet; domain experts; event-based natural language processing; knowledge management system; nontaxonomic relations; ontology acquisition; semiautomatic ontology learning; taxonomic relations; Association rules; Buildings; Computer science; Data mining; Knowledge engineering; Lattices; Learning systems; Natural language processing; Natural languages; Ontologies; Nature lanaguage processing; Ontology; Ontology learing; WordNet;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation, 2006. ICIA 2006. International Conference on

Conference_Location

Shandong

Print_ISBN

1-4244-0555-6

Electronic_ISBN

1-4244-0555-6

Type

conf

DOI

10.1109/ICINFA.2006.374119

Filename

4250209