The main approaches are Inductive Logic Programming, Fuzzy DL including Learning Axioms, Reasoning with large A-boxes in Fuzzy DL by DL Reasoners, Fuzzy KR with DL & LP fuzzy DL, Reasoning on Fuzzy UML models. The conclusions of the research will be used for constructing an efficient framework for Intelligent Learning based on the Semantic Web.