Knowledge graph crowdsourcing platform based on distributed account book

Abstract

The invention discloses a knowledge graph crowdsourcing platform based on a distributed account book, and the platform comprises a graph database and a relation database, the graph database is used for storing a knowledge graph, and the relation database is used for storing the related information of an auditor and an acceptor, and the auditing task and the acceptance task of the knowledge graph;the knowledge graph crowdsourcing platform executes the following functions: selecting an unaudited main entity and related sub-graphs from the graph database to form an auditing task, and publishingthe auditing task to a distributed chain; an auditor obtains an auditing task from the distributed chain, performs triple auditing on the main body and the related sub-graphs, returns an auditing result and publishes the auditing result to the distributed chain; an acceptance person obtains an acceptance task from the distribution chain, audits and accepts an auditing result to form a final triad,and stores the final triad in a graph database; and an honor value is generated for the auditing task and the acceptance task, and the honor value is published to a chain for converting the honor value into currency for data transaction.

Description

Technical field [0001] The invention belongs to the field of data storage and Web, and specifically relates to a knowledge graph crowdsourcing platform based on a distributed ledger. Background technique [0002] The knowledge graph has received great attention from the industry in recent years, and it has been successfully applied in many fields, such as search engines, intelligent customer service, voice robots, etc. Many large knowledge graphs have been gradually constructed, such as GoogleKnowledge Graph, and open Freebase, Yago, etc., the knowledge graph mainly includes entities, relationships and triples. Each triple represents a piece of knowledge, that is, there is a certain relationship between two entities, represented by (h, r, t), where h , T represents the head entity and the tail entity, respectively, r represents the relationship, for example (Hangzhou, located in the country is, China) means that "Hangzhou is located in China" knowledge. [0003] Although more and ...

AI Technical Summary

Problems solved by technology

[0004] Nowadays, the platform with similar functions is wikidata, but it is more like a knowledge contribution platform. The original intention of wikidata is to allow everyone to edit and add knowledge entries. This design tends to be large and comprehensive, and because It is a pure community participation mechanism with almost no control measures, so it is impossible to expect crowdsourcers to complete the task of knowledge graph review

[0005] In addition, the traditional knowledge graph crowdsourcing platform cannot solve a problem: the mutual trust of users, which in turn leads to the inability of the crowdsourcing platform to complete the crowdsourcing function well

Because users will have distrust of the system

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