Test-oriented ontology learning methods
Junhu Wang · Journal of Jilin University · 2015
The techniques of statistics,frequent item mining,pattern matching,heuristic learning and active learning are employed to learn the concepts(including instances),taxonomic relations,semantic relations and the concept properties from the documents based on preprocessing tool Gate and general ontology Word Net.The concept property learning was first proposed in this paper.Experiment results show that the proposed ontology learning method can improve the effect of word semantic disambiguation,enrich phrase concept learning and semantic relationship learning,increase the accuracy of automatic ontology construction and reduce the cost of ontology learning.