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In order to improve the utilization rate of the Internet data under the heterogeneous type distribution, increase the diversification of the Internet use function and data transfer rate, reduce the operation of the Internet time, needs to be under the heterogeneous distribution of Internet data mining. The current data mining method is to adopt the visual function of SOM system under the heterogeneous distribution of Internet data clustering, then according to the clustering results of calculation with heterogeneous distribution of Internet data mining. But this method is a complex process of operation, regular Internet data missing problem. To this end, this paper proposes a heterogeneous distribution based on ontology of Internet data mining method. The method of first selection under the heterogeneous distribution of Internet data preprocessing the data characteristics, and use the feature selection decision-making system for mining data feature selection, on the basis of using information entropy under the heterogeneous distribution of Internet data filter, filter by information entropy in the process of data, the change of the theoretical value of reducing data filtering to get the best value, and finally on the basis of the pretreatment of the data obtained from the information, using the decision tree generation algorithm of iterative calculation results of information gain value to high precision under the heterogeneous distribution of Internet data mining. Simulation experimental results show that the proposed method improves the heterogeneous distribution of Internet data operation flexibility, increased the recycled utilization rate of Internet data, makes the heterogeneous distribution of the Internet more concise, efficient operation, the research in the field development provides a strong basis.