Development of Korean Concept & Instance Classification System

Author

Bae, Young-Jun ; Ock, Cheol-Young ; Choe, Ho-Seop ; Lee, Wang-Woo ; Yoon, Haw-Mook

Author_Institution

Dept. of Comput. Eng. & Inf. Technol., Univ. of Ulsan, Ulsan

fYear

2008

fDate

23-25 July 2008

Firstpage

108

Lastpage

113

Abstract

The manual ontology construction can enhance accuracy of ontology construction than an automatic ontology construction. But much time and effort are needed. And it is hard to add the newly created concept, the instance and relation to the ontology one-by-one. So, the automatic construction of ontology is needed and the tools for an auto-construction and systems are needed. In this paper, we studied on the concept/instance automatic classification which is one of them. In order to classification of concept/instance, we made the concept rules and the instance rules using the patterns in terminology dictionary items. And a system was built. The precision of classification result of a concept and instance is 97.7%, 86.4%. The whole precision is 92.1%.

Keywords

classification; dictionaries; ontologies (artificial intelligence); Korean concept; automatic classification; dictionary; instance classification system; ontology construction; Computer aided manufacturing; Dictionaries; Humans; Information systems; Information technology; Manuals; Motion pictures; Natural languages; Ontologies; Terminology; Concept; Instance; classification; ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on

Conference_Location

Dalian Liaoning

Print_ISBN

978-0-7695-3273-8

Type

conf

DOI

10.1109/ALPIT.2008.96

Filename

4584351