A knowledge graph fusion system and method based on artificial intelligence

Abstract

The invention relates to an artificial intelligence-based knowledge graph fusion system and method thereof, including a knowledge graph coordination server based on an artificial intelligence system, a cloud computing-based knowledge graph cognitive server, a distributed data storage system, and a knowledge graph data acquisition terminal. The system includes six steps including hardware system networking, knowledge map data preprocessing, data preliminary fusion, deep data fusion, knowledge map output, and system logic processing. The present invention can effectively meet the needs of fusion management and utilization of various complex knowledge data under various network structures; at the same time, it also has the advantages of automatic system operation, high degree of intelligence, good data processing ability, precision and security, and system operation hardware resource occupation Advantages such as low rate.

Description

technical field [0001] The invention relates to an artificial intelligence-based knowledge map fusion system and a method thereof, belonging to the field of data information technology. Background technique [0002] With the current development of technology in various industries and the deepening of cross-mixing of related subject knowledge, coupled with the current complex data types and large data volumes of various resources, in order to reduce the need for staff to quickly and accurately perform specific data processing in a large amount of data information The burden of retrieval, identification and utilization, knowledge map technology has been widely used, such as the patent publication number is CN111949801A, the publication date is 20201117, the patent application number is 2020107295466, and the patent name is the knowledge map fusion method of doctor's experience knowledge and ultrasonic image information , the patent publication number is CN112804280A, the publi...

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Problems solved by technology

[0002] With the current development of technology in various industries and the deepening of cross-mixing of related subject knowledge, coupled with the current complex data types and the large amount of data in various resources, in order to reduce the need for staff to quickly and accurately perform specific data processing in a large amount of data information The burden of retrieval, identification and utilization, knowledge map technology has been widely used, such as the patent publication number is CN111949801A, the publication date is 20201117, the patent application number is 2020107295466, and the patent name is the knowledge map fusion method of doctor's experience knowledge and ultrasound image information , the patent publication number is CN112804280A, the publication date is 20210514, the patent application number is 201911113749, and the patent name is knowledge map fusion system and other technical content. Although it can meet the needs of use to a certain extent, the current system of this type is often in operation. The system structure is complex, operation is difficult, the scope of applicable personnel is small, and the adjustment and maintenance flexibility of the system in the process of operation and maintenance is poor, and the system expansion ability is insufficient, which often can only meet the needs of data processing in specific environments or knowledge fields. At the same time, during operation, The current system of this type has poor data processing capability, data processing stability, and reliability, and is likely to cause risks such as data loss and leakage. In addition, it often needs to occupy large hardware device resources during data processing operations, which further increases The construction and maintenance costs of the current knowledge graph system, and at the same time have the disadvantages of low data processing efficiency

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