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At present, ontology theory has attracted wide attention in the field of knowledge engineering. The construction of prefect and accurate domain ontology is getting more and more important, and at the same time, the update and integration of enterprise knowledge resource requires incessant evolution and merging of ontology. Aiming at the situation that process efficiencies and ontology integration is too slow, we use support vector machine classification and K- means clustering method to construct data processing. The thesis obtained specific information from the text data, and presented multiple-classification SVM and K-means clustering. Then, classification and clustering process was concluded for ontology construction and reconstruction, taking both discrete and continuous data sample as testing cases. The experimental results show that the proposed based on the ontology construction and reconstruction of data mining technology has good application effect.