Development of Korean Concept & Instance Classification System

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%.