Aiming at the shortcomings of current knowledge fusion methods and understanding the knowledge fusion algorithm in the big data environment, this paper proposes a heterogeneous knowledge fusion algorithm based on MapReduce for minority cultural resources. In order to improve the performance of the fusion algorithm, the algorithm is used in the similarity calculation. It is improved on the basis of the traditional attribute similarity calculation method. Based on the Hadoop platform and

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... framework, the experimental platform is validated. The experimental results show that the proposed MapReduce-based heterogeneous knowledge fusion algorithm for ethnic cultural resources is effective and feasible, both in terms of accuracy and effectiveness.