A domain adaptive ontology learning framework

Ontology leaning is a solution to the bottleneck of knowledge acquisition and time-consuming construction of ontologies. In recent years, a lot of research work has been done to design appropriate methods for ontology learning. However, all these methods suffer from some common shortcomings which prevent wide production and usage of ontologies. In this paper, we first analyze the characteristics of these shortcomings and then proposed an ontology learning framework OntoExtractor, which includes seed concept extraction, semantic relationships construction and ontology refinement. As the result shows, this framework could provide good domain adaptability for ontology learning system.