Knowledge graph storage and verification method based on blockchain and IPFS

Abstract

The invention discloses a knowledge graph storage and verification method based on a blockchain and an IPFS. The method specifically comprises the steps that firstly, a process file of the knowledge graph is exported from a graph database, a file hash value is calculated, the process file is stored in an IPFS inter-satellite file system, a file index hash value returned by the IPFS is compared with the previously calculated hash value, and if the file index hash value is equal to the previously calculated hash value, the file index hash value is stored in a block chain, and safety of the process file is guaranteed. The file index hash value is stored into the blockchain through processes of data packaging, signing, block packaging, block broadcasting and the like, querying the file index hash value in the blockchain, comparing the file index hash value with a file index hash value obtained from an IPFS before, if the file index hash value is the same as the file index hash value, entering a file processing module, and otherwise, entering a file warning module. Through combination of the blockchain and the IPFS, reliable and rapid storage of the knowledge graph can be realized, andthe security and traceability of knowledge graph process files are ensured.

Description

technical field [0001] The invention belongs to the technical field of file encryption storage, and in particular relates to a knowledge map storage and verification method based on blockchain and IPFS. Background technique [0002] With the development and application of artificial intelligence technology, knowledge graph has become an important branch of artificial intelligence, and the successful application of knowledge engineering in big data environment. Knowledge graph is a knowledge base that represents concepts and entities in the objective world and the relationship between them in the form of graphs. It is one of the basic technologies for intelligent services such as semantic search, intelligent question answering, and decision support. The knowledge graph aims to identify, discover and infer the complex relationship between things and concepts from data, and is a computable model of the relationship between things. The construction of knowledge graph involves k...

AI Technical Summary

Problems solved by technology

(4) Cannot be tampered with

For example, the source data of information collection is incorrect; the information extraction is incorrect due to unclear entities and relationships; errors occur in the process of entity linking and knowledge merging, etc.

Moreover, the knowledge graph is generally large in magnitude, and it is difficult to simply trace the data location of the error in the modeling stage.

At the same time, there are also security issues in the process of building knowledge graphs

For example, before the knowledge is updated, the process files of constructing the map are illegally tampered with or lost, so that the security of the files cannot be guaranteed

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