This article proposes an integration method based on multi-source information fusion to address the problem of dispersed and duplicated construction of scientific research information resources in universities. This method comprehensively extracts resources such as various databases, literature databases, and patent databases, and uses multi-source information fusion technology for standardization processing to ensure the accuracy and consistency of information. On this basis, an efficient integration model adapted to the characteristics of different information sources was constructed, and the integration effect was optimized through distributed adaptive processing methods, significantly improving the utilization efficiency of information resources. The experimental results show that the integration efficiency of this method reaches 0.885, which is much higher than the integration method based on semantic web technology (0.267), indicating that the method proposed in this paper has significant advantages and practical application value in improving the efficiency of information resource integration.