The invention relates to the technical field of network additional storage, and discloses a network additional storage intelligent
data management method and
system, and the method comprises the steps: monitoring a
file system, capturing a newly added file in real time, modifying a file, judging a
data type, carrying out analysis, carrying out a fusion decision mechanism through a rule analyzer, and carrying out the classification of data of which the classification confidence is lower than a threshold value. After the pushing user confirms, the feedback is used for model
incremental learning, the data popularity
score is calculated, then the data is divided into hot data, warm data and cold data to be stored respectively, meanwhile,
invalid data is cleared away regularly,
natural language query is analyzed through a BERT model to generate a structured
query statement, and the structured
query statement is stored; entities, attributes and association relationships of the multi-
modal data are extracted and imported into a
graph database, a
knowledge graph is constructed, personalized retrieval and association pushing are achieved, and full-
process safety management and control and multi-terminal visual operation support are provided.
Data classification management
automation and retrieval intellectualization are realized, and the data asset
management efficiency is improved.