Content-based Semantic Web retrieval only considers the content itself,without taking into account the different users,and it can not accurately reflect user needs.Aiming at the problem,this paper proposes a framework for adaptive semantic Web retrieval.For Chinese documents on the Web,it gives a kind of ontology learning method with HowNet,builds user information database by extracting the user objective,explicit and implicit information,designs the initial query ontology and personalized query ontology construction algorithm,and ultimately achieves the user's adaptive retrieval.Result shows the method has higher retrieval efficiency.
