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Research On Blockchain-Based Knowledge Graph Expansion Method

Posted on:2022-12-20Degree:MasterType:Thesis
Country:ChinaCandidate:L XuFull Text:PDF
GTID:2518306779971619Subject:Computer Software and Application of Computer
Abstract/Summary:PDF Full Text Request
In the era of digital economy,data has become a new key production factor.As a traditional power in the field of textile and garment,China has accumulated a large amount of domain knowledge.However,due to the lack of unified organization and management and the lack of correlation between knowledge from different sources,data islands have been formed among each other.The complex distribution of knowledge leads to the high cost of knowledge acquisition,which brings great challenges to the management and application of knowledge in the field of textile and garment.The emergence of knowledge graph technology provides an effective solution for the organization and management of knowledge,but due to the ponderous nature of knowledge in the textile and garment field,there are challenges in the construction and expansion of knowledge graphs.How to efficiently and systematically construct knowledge graph becomes the key to lowering the cost of knowledge acquisition and increasing the value of knowledge application.In order to solve the problem of difficulty in building knowledge graphs,a crowdsourcing expansion method of knowledge graphs is designed by combining crowdsourcing model and blockchain technology.The method redefines the crowdsourcing roles,optimizes the crowdsourcing process,further improves the crowdsourcing quality control and incentive mechanism according to the construction characteristics of knowledge graph,and completes the construction and expansion of knowledge graph more efficiently.At the same time,blockchain technology is used to program and standardize the crowdsourcing process using smart contracts to ensure the openness,transparency and fairness of the crowdsourcing process.In order to motivate crowdsourced workers to continuously participate in the construction of knowledge graph and protect the work achievements of crowdsourced workers from infringement by others,a method of knowledge authentication and payment sharing is designed in combination with blockchain technology.After submitting knowledge contributions,crowdsourced workers can complete the registration operation on the blockchain to declare their ownership of the knowledge contributions.The registered ownership record can be used by other users for ownership and authenticity verification.On the basis of the authentication,smart contracts are used to realize the sharing behavior of knowledge payment transaction and maximize the value realization ability of knowledge.Based on the above two parts,the application research is carried out,we design and implement a crowdsourcing expansion system of knowledge graph in textile and garment field.At the technical level,the system is developed based on the consortium chain framework FISCO BCOS,and combined with IPFS technology to realize a blockchain hybrid storage scheme.At the functional level,the system contains three modules: user,crowdsourcing,and knowledge authentication and transaction,which support users to participate in the expansion and maintenance of the knowledge graph in the form of crowdsourcing,and provide knowledge authentication and transaction sharing functions for the crowdsourcing participants in the system,so as to realize the co-construction and sharing of knowledge resources in the textile and clothing field.
Keywords/Search Tags:blockchain, crowdsourcing, knowledge graph, smart contract, digital asset authentication, digital asset transaction
PDF Full Text Request
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