An ontology reasoning architecture for data mining knowledge management

In order to realize the intelligent management of data mining (DM) domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include: ① Describing DM ontology and meta-data using ontology based on Web ontology language (OWL). ② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL(s). Biography: ZHENG Liang (1980–), male, Master candidate, research direction: data mining, semantic Web and ontology.