A preliminary study on semi-automatic construction of Vietnamese ontology

Ontology is an effective formal representation of knowledge used commonly in artificial intelligence, semantic web, software engineering and information retrieval. Typically, ontologies are constructed by domain experts using domain knowledge and domain documents. However, manual acquisition of ontologies from domain documents consumes high costs. We present a support system for Vietnamese ontology construction using pattern-based mechanisms of discovering Vietnamese concepts and conceptual relations from Vietnamese text documents. As there are very few existing taxonomies constructed in Vietnamese, we use non-taxonomy based approach. The combination of association rule mining and lexical pattern based learning was used as our major method of concept extraction and conceptual relation detection. From the experiments, we show that this is a feasible solution.