Knowledge graph construction method, device and equipment based on graph database GDB
A technology of knowledge graph and construction method, applied in other database retrieval, other database index, other database query, etc., can solve problems such as inaccurate knowledge data connection, high operation and maintenance cost, long time-consuming knowledge query, etc., and achieve high query efficiency , low operation and maintenance costs
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Embodiment 1
[0040] The graph database GDB supports attribute graphs, is highly compatible with the Gremlin graph query language, realizes a highly optimized graph engine computing layer and storage layer, and ensures ultra-high reliability of data through multiple copies of cloud disks. GDB supports ACID transactions, and provides READCOMMITTED transaction isolation level by default. The graph database GDB supports a high-availability version. When a failure occurs, the system will quickly transfer the failure based on various abnormal conditions of the main and standby failures to ensure business continuity and provide a wealth of database operation and maintenance management capabilities, including backup recovery, automatic upgrade, monitoring and alarm, failover, etc. , greatly reducing operation and maintenance costs.
[0041] The present invention adopts the knowledge map storage method based on the graph database GDB, and uses the attribute graph as the basic representation form, ...
Embodiment 2
[0080] This embodiment provides a knowledge map construction device based on the graph database GDB, please refer to Figure 4 , the device consists of:
[0081] Data acquisition module 1, used to acquire target industry data and clean the data;
[0082] Scheme design module 2 is used to design knowledge Scheme according to the current business scenario requirements;
[0083] The knowledge extraction module 3 is used to perform incremental training on the current business-related words using the LAC tool according to the knowledge scheme to obtain the entity recognition model, and filter out the ontology, attributes and relationships required to build the knowledge map through the Cypher statement, and realize Knowledge extraction and storage;
[0084] Graph building module 4, used for knowledge-based extraction and storage, connected to the graph database GDB, and building the knowledge graph of the target industry.
[0085] Among them, the knowledge extraction module 3 in...
Embodiment 3
[0088] This embodiment provides a knowledge map construction device based on a graph database GDB. Please see Figure 5 , the knowledge map construction device 500 based on the graph database GDB may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 510 (for example, one or more processors ) and memory 520, one or more storage media 530 (such as one or more mass storage devices) for storing application programs 533 or data 532. Wherein, the memory 520 and the storage medium 530 may be temporary storage or persistent storage. The program stored in the storage medium 530 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations for the knowledge graph construction device 500 based on the graph database GDB.
[0089] Further, the processor 510 may be configured to communicate with the storage medium 530, and exec...
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