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