CNS: Application of Distributed Indexing Based on Large-Scale Graph Data in Legal Protection of Network Personal Information

摘要

In order to improve the legal protection effect of online personal information, this paper combines intelligent methods to analyze the application of distributed indexing for large-scale graph data in the legal protection of online personal information. Moreover, this paper designs a TreeRank semantic ranking model based on the characteristics of RDF data. In addition, this paper uses the matching algorithm to obtain the relevance ranking of the class to which the primary keyword belongs, improves the intelligent algorithm, and builds an intelligent distributed index structure. Finally, this paper simulates the distributed indexing system based on large-scale graph data in combination with the legal protection requirements of personal information, and verifies the validity of the model through experimental research.