Research on Citation Similarity Algorithm Based on SLN

This paper aims at the shortcomings of traditional citation similarity calculation methods in mining semantic information of documents, and proposes a research on citation similarity algorithm based on semantic link network (SLN). Traditional citation similarity algorithms often only focus on citation relationships while ignoring semantic information, which leads to certain limitations in the accuracy of the algorithms. Firstly, this paper proposes a citation semantic link network model, and then the paper proposes a citation similarity algorithm based on citation semantic link network model. By introducing semantic information, this algorithm can more accurately measure the similarity between documents, effectively improving the accuracy and efficiency of the algorithm. This provides a new approach for document analysis and is of great significance for improving the quality of document retrieval.