WO2020015405A1 - 一种基于区块链对作品发布者进行信用评价的方法及装置 - Google Patents

一种基于区块链对作品发布者进行信用评价的方法及装置 Download PDF

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WO2020015405A1
WO2020015405A1 PCT/CN2019/082902 CN2019082902W WO2020015405A1 WO 2020015405 A1 WO2020015405 A1 WO 2020015405A1 CN 2019082902 W CN2019082902 W CN 2019082902W WO 2020015405 A1 WO2020015405 A1 WO 2020015405A1
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credit
score
target
node
characteristic value
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PCT/CN2019/082902
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English (en)
French (fr)
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杨新颖
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阿里巴巴集团控股有限公司
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Priority to EP19837082.7A priority Critical patent/EP3825945A4/en
Priority to US17/254,159 priority patent/US11948155B2/en
Priority to SG11202012979SA priority patent/SG11202012979SA/en
Publication of WO2020015405A1 publication Critical patent/WO2020015405A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0609—Buyer or seller confidence or verification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/18—Legal services
    • G06Q50/184—Intellectual property management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q2220/00—Business processing using cryptography
    • G06Q2220/10—Usage protection of distributed data files
    • G06Q2220/16—Copy protection or prevention

Definitions

  • the embodiments of the present specification relate to the field of information technology, and in particular, to a method and device for credit evaluation of a work publisher based on a blockchain.
  • a person who is engaged in the creation of a work may register as a user in advance on a server of a copyright credit appraiser (usually a copyright-related industry association, a large enterprise in the copyright-related industry, etc.).
  • a copyright credit appraiser usually a copyright-related industry association, a large enterprise in the copyright-related industry, etc.
  • the server detects that a work published by a user is suspected of plagiarism, it will reduce the stored copyright credit score corresponding to the user.
  • the embodiment of the present specification provides a method and device for credit evaluation of the work publisher based on the blockchain.
  • the technical solution is as follows:
  • a method for credit evaluation of a work publisher based on a blockchain includes a number of business nodes. For each business node, the business node has a Permission to publish works, the method includes:
  • the published works in the blockchain perform originality analysis on the target works published by the target business node to the blockchain to obtain the originality representative value corresponding to the target works;
  • the target business node is any business node;
  • the originality characteristic value is positively related to the originality of the target work;
  • the copyright credit score corresponding to the target service node is positively related to the credit evaluation of the user corresponding to the target service node.
  • a device for credit evaluation of a work publisher based on a blockchain includes a number of business nodes. For each business node, the business node has a The permission to publish works, the device includes:
  • the originality analysis module performs originality analysis on the target work released by the target business node to the blockchain based on the published works in the blockchain to obtain the originality representative value corresponding to the target work;
  • the target business node is Any business node;
  • the originality characteristic value is positively related to the originality of the target work;
  • a determination module if the originality characteristic value is less than a first specified threshold, determining a copyright credit reduction based on the originality characteristic value
  • a credit deduction transaction construction module for constructing a credit deduction transaction based on a node identifier of the target business node and the copyright credit reduction;
  • the credit deduction transaction broadcasting module broadcasts the credit deduction transaction to the blockchain network, so that multiple business nodes in the blockchain network pass the credit deduction transaction consensus verification, and then establish the The corresponding relationship between the node identifier and the copyright credit reduction and stored in the blockchain;
  • the copyright credit score corresponding to the target service node is positively related to the credit evaluation of the user corresponding to the target service node.
  • the technical solution provided in the embodiment of this specification can perform originality analysis on the target works published by the target business node (any business node) to the blockchain, and obtain the original characterization values corresponding to the target works.
  • Low indicating that the target work is suspected of plagiarism
  • the copyright credit score corresponding to the target business node will be deducted, and the copyright credit score (i.e. the credit credit reduction) deducted by the target business node needs to pass the consensus of multiple business nodes After the verification and consensus verification pass, it can be published on the blockchain.
  • the copyright credit score deduction record corresponding to the target business node can be publicized on the blockchain, and the copyright credit score corresponding to the target business node can be determined accordingly.
  • FIG. 1 is a schematic flowchart of a method for credit evaluation of a work publisher based on a blockchain according to an embodiment of the present specification
  • FIG. 2 is a schematic structural diagram of a device for credit evaluation of a work publisher based on a blockchain according to an embodiment of the present specification
  • FIG. 3 is a schematic structural diagram of a system for credit evaluation of a work publisher based on a blockchain according to an embodiment of the present specification
  • FIG. 4 is a schematic structural diagram of a computer device for configuring a method according to an embodiment of the present specification.
  • the method of credit evaluation for publishers of works is usually performed by the server of the copyright credit evaluation party.
  • This centralized credit evaluation method is not transparent enough.
  • the copyright credit score corresponding to each work publisher may be tampered with stored on the server of the copyright credit evaluation party, resulting in the credibility of the existing method for credit evaluation of the work publisher.
  • the present invention proposes a set of solutions for credit evaluation of works publishers based on blockchain.
  • a public and credible credit evaluation system for publishers of works is constructed.
  • the deduction of copyright credit points corresponding to each business node in the blockchain network needs to be verified by consensus of multiple business nodes, and once the credit credit deductions corresponding to each business node are stored, Once in the blockchain, it cannot be undone or tampered with. Therefore, for each service node, the level of the copyright credit score corresponding to the service node can accurately reflect the level of credit of the user corresponding to the service node in the field of copyright business.
  • the behavior of business nodes publishing works can be effectively regulated, and the behavior of business nodes publishing plagiarism works can be curbed.
  • FIG. 1 is a schematic flowchart of a method for credit evaluation of a work publisher based on a blockchain according to an embodiment of the present specification, including the following steps:
  • the blockchain network includes a number of business nodes. For each business node, the business node has the right to publish works to the blockchain.
  • the execution subject of the method can be any business node (called an execution business node) in the blockchain network, and the execution business node calls the smart contract stored in the blockchain to implement the method process shown in FIG. 1 , Execute the method shown in Figure 1. It should be noted that the execution service node may be randomly designated in each service node whenever the method shown in FIG. 1 needs to be executed.
  • target business node is also any business node in a blockchain network
  • the target business node and the execution business node may be the same business node.
  • a management node can also be added to the blockchain network as the execution subject of the method shown in Figure 1.
  • the management node does not participate in the execution of the copyright service, but is only responsible for managing the copyright service.
  • the management node also generally executes the method shown in FIG. 1 by calling a smart contract stored in the blockchain to implement the method flow shown in FIG. 1.
  • the originality analysis of the target work described in this article usually refers to the use of digital analysis methods based on the work library to compare the digital form of the target work with the digital form of the reference work in the work library to determine from the work library.
  • the reference work that is most similar to the target work is used as the key reference work, and the similarity between the target work and the key reference work is obtained. This is a technical means well known to those skilled in the art.
  • the similarity is generally a value between 0 and 100%, which represents the degree of similarity between the target work and the key reference work. For example, the similarity is 20%, indicating that the target work is 20% similar to the key reference work. Obviously, the higher the similarity, the lower the originality of the target work.
  • the originality characteristic value is determined according to the similarity
  • the similarity is negatively related to the originality characteristic value
  • the originality characteristic value is related to the The degree of originality of the target work is positively related. That is, the closer the target work is to the reference work, the lower the originality characteristic value, and the lower the originality of the target work.
  • (1-the similarity) may be used as the originality characteristic value.
  • the originality analysis method for the target work is not limited to the above one, as long as the technical method of performing originality analysis on the target work to obtain the originality characteristic value corresponding to the target work based on the work library, can be applied to the implementation of this specification example.
  • the target work is a work released by the target business node to the blockchain, and the published work in the blockchain can actually be regarded as a work library for originality analysis of the target work.
  • the target business node requests to publish the target work to the blockchain
  • the originality analysis of the target work can be performed, or after the target business node has published the target work to the blockchain, the target work can be analyzed. Perform originality analysis.
  • a first specified threshold value may be preset. If the originality characteristic value corresponding to the target work is less than the first specified threshold value, it means that the target work has a low degree of originality, and the blockchain The degree of imitation of published works in China is relatively high, which is not encouraged by the blockchain copyright business model, and will lead to a deduction of the credit points corresponding to the target business nodes that publish the target works. The deduction of the credit score corresponding to the target business node means that the credit rating of the user corresponding to the target business node is reduced.
  • the first specified threshold may be 60%, and if the originality characteristic value is less than 60%, it indicates that the originality of the target work is low.
  • the copyright credit reduction refers to a credit value that needs to be deducted, which is usually a positive value.
  • the credit credit reduction can be determined randomly or according to actual business needs. Those skilled in the art can easily think of a variety of ways to determine the copyright credit reduction based on the originality characteristic value.
  • the originality characteristic value may be negatively related to the copyright credit score reduction.
  • the first designated score may be determined as the copyright credit reduction.
  • the second specified threshold is smaller than the first specified threshold.
  • the business meaning here is that if the originality characteristic value is smaller than the first specified threshold value, the originality of the target work is low, and if the originality characteristic value is less than the second specified threshold value, the originality of the target work is too low, which basically can Identified as plagiarism.
  • the target work is identified as a plagiarized work, and the copyright credit reduction is determined as a fixed score (ie, the first designated score). It can be seen that once a work is identified as a plagiarized work, the credit credit reduction caused by the plagiarized work can be a fixed point.
  • a copyright credit reduction is determined according to the originality characteristic value.
  • the originality characteristic value is negatively related to the determined copyright credit score reduction, and the determined copyright credit score reduction is smaller than the first designated score.
  • the business meaning here is that although the originality characteristic value is less than the first specified threshold value, indicating that the degree of originality is low, but it is not less than the second specified threshold value, indicating that the degree of originality is not too low, and it should not be identified as a plagiarized work.
  • the copyright credit reduction may be smaller than the first designated score, and the higher the originality characteristic value, the lower the copyright credit reduction.
  • the first specified threshold is 60%
  • the second specified threshold may be 40%. If the originality characteristic value corresponding to the target work is between 40% and 60%, the target is described. The originality of the work is low, but it should not be regarded as a plagiarized work; if the originality characteristic value corresponding to the target work is less than 40%, it means that the originality of the target work is too low, and it can be regarded as a plagiarized work.
  • the target business node may publish the historical performance of the work (for example, the target Among the published works, the proportion of plagiarized works) to determine the copyright credit reduction.
  • the number of published works corresponding to the target business node in the blockchain can be determined, and if the number reaches a specified number, it is determined that the target business node has been published in the work of the blockchain, copying the work
  • the proportion is taken as the plagiarism proportion. If the plagiarism ratio is greater than the first specified ratio, a penalty coefficient is determined according to the plagiarism ratio; the penalty coefficient is not less than 1; the plagiarism ratio is positively related to the penalty coefficient.
  • the specified number and the first specified ratio may both be specified according to actual business requirements.
  • the plagiarism ratio is greater than the first specified ratio, which means that the historical performance of the target business node's published works is poor, and the target business node should be punished more. Therefore, a penalty coefficient of not less than 1 is determined. The higher the plagiarism ratio, the The penalty coefficient is also larger.
  • the number of works that the target business node has published to the blockchain is 100, and the number of works (that is, plagiarized works) whose originality is less than the second specified threshold is 80, and the plagiarism ratio is 80 %, It can be determined that the corresponding penalty coefficient is 1.5.
  • the number of works that the target business node has published to the blockchain is 100, and the number of works (that is, plagiarized works) whose originality representative value is less than the second specified threshold is 60, then the plagiarism ratio is 60%, it can be determined that the corresponding penalty coefficient is 1.3.
  • the first specified score value may be multiplied by the penalty coefficient, and the first specified score value multiplied by the penalty coefficient may be determined as the copyright credit score. Reduction, which achieves the purpose of aggravating punishment.
  • S104 Construct a credit deduction transaction based on the node identifier of the target business node and the copyright credit reduction.
  • the transaction described in this specification refers to a piece of data created by a user through a client of the blockchain and which needs to be finally published to the distributed database of the blockchain.
  • a narrow transaction refers to a value transfer issued by a user to the blockchain; for example, in a traditional Bitcoin blockchain network, a transaction can be a transfer initiated by a user in the blockchain.
  • the generalized transaction refers to a piece of business data with business intent issued by the user to the blockchain; for example, the operator can build an alliance chain based on actual business needs, and rely on the alliance chain to deploy other types that are not related to value transfer.
  • Online business (such as renting business, vehicle scheduling business, insurance claims business, credit services, medical services, etc.), and in this type of alliance chain, the transaction can be a business with a business intent issued by the user in the alliance chain Message or business request.
  • the credit deduction transaction actually refers to data including a node identifier of the target business node and the copyright credit reduction amount.
  • S106 Broadcast the credit deduction transaction to the blockchain network.
  • Broadcasting the credit deduction transaction to a blockchain network can cause multiple service nodes in the blockchain network to pass the credit deduction transaction consensus verification, and then establish the node identifier and the The corresponding relationship between the copyright credit reductions is stored in the blockchain (that is, the corresponding relationship between the node identification and the copyright credit reductions is stored in the blockchain).
  • the multiple service nodes may be all service nodes in the blockchain network, or may be part of the service nodes in the blockchain network.
  • the credit points deduction for the target business node is completed, and the credit points deducted for the target business node (that is, the credit point reduction corresponding to the target business node) will be publicized on the blockchain.
  • each business node in the blockchain network may be allocated a certain initial copyright credit score in advance, or each business node may not be allocated an initial copyright credit score.
  • the initial copyright credit score corresponding to each business node is 0.
  • the originality analysis of the target works published by the target business node (any business node) to the blockchain can be performed to obtain the originals corresponding to the target works.
  • Characterization value if the originality characterization value is low (indicating that the target work is suspected of plagiarism), the copyright credit score corresponding to the target business node will be deducted, and the copyright credit score deducted by the target business node (that is, the copyright credit score reduction) (Quantity) Only after consensus verification of multiple business nodes and consensus verification pass, can it be published on the blockchain.
  • the copyright credit score deduction record corresponding to the target business node can be publicized on the blockchain, and the copyright credit score corresponding to the target business node can be determined accordingly.
  • the lower the copyright credit score corresponding to the target business node the lower the credit level of the target business node. Worse. In this way, by using the characteristics of data traceability and non-tamperable data records of the blockchain, a public and credible credit evaluation system for the publishers of works can be established to curb the behavior of business nodes publishing plagiarized works.
  • a credit deduction transaction may be constructed based on the node identification of the target business node, the copyright credit reduction and the work identification of the target work.
  • the credit deduction transaction is broadcast to the blockchain network, so that a plurality of business nodes in the blockchain network pass the credit deduction transaction consensus verification, and the node identifier is established.
  • the credit and credit reduction, and the correspondence between the work identifiers are stored in the blockchain. In this way, the following information will also be publicized on the blockchain: the copyright credit reduction is caused by the target work.
  • a credit deduction transaction may be constructed based on the node identification of the target business node, the copyright credit reduction, the work identification of the target work, and the originality characteristic value.
  • the credit deduction transaction is broadcast to the blockchain network, so that a plurality of business nodes in the blockchain network pass the credit deduction transaction consensus verification, and the node identifier is established.
  • the correspondence between the credit and credit reduction, the work identification, and the originality characteristic value are stored in the blockchain. In this way, the following information will also be publicized on the blockchain: the copyright credit reduction is caused by the target work, and the originality of the target work.
  • the target work is a plagiarized work (the originality characteristic value is less than the second specified threshold)
  • the credit deduction transaction is broadcast to the blockchain network, it can also be monitored by Based on the revenue generated by the target work, using the monitored revenue as an indicator, it is determined whether to increase the credit credit reduction caused by the target work.
  • Specific implementations include at least the following three:
  • Method 1 The copyright income generated based on the target work can be monitored; if the monitored copyright income reaches the first specified amount, the copyright credit points supplement corresponding to the reduction of the copyright credit points is determined according to the monitored copyright income. Decrease; the determined credit credit supplement supplement reduction is positively correlated with the monitored copyright revenue; based on the node identification and the determined credit credit supplement supplement reduction, construct a credit supplement deduction transaction; broadcast to the blockchain network The credit supplement deduction transaction, so that a plurality of business nodes in the blockchain network pass the credit supplement deduction transaction consensus verification, and then establish the node identification and the determined copyright credit score supplement reduction The corresponding relationship is stored in the blockchain.
  • the meaning of the supplementary reduction of copyright credit points is that the supplementation for the reduction of copyright credit points means the supplementary reduction of copyright credit points, which is actually also the reduction of copyright credit points.
  • the distinction in description will be described as "supplementary”.
  • the credit supplementary deduction transaction is also a credit deduction transaction in essence, and is also described here as “supplementary” for the purpose of distinguishing in description.
  • the first designated amount may be designated according to business needs. If the monitored income does not reach the first designated amount, it means that the target work has less accumulated income (that is, less income from copyright infringement), and no supplementary credit deduction is required.
  • the first specified amount can be preset to 10,000 yuan, and three amount ranges are set above the first specified amount, which are [10000, 15000), [15000, 30000), and [30000, 50000]. ], And assign supplementary deduction coefficients of 0.5, 0.8, and 1 to the three amount ranges, respectively.
  • the target work is a plagiarism work
  • the copyright credit reduction caused by the target work is 20 points, which has been publicized on the blockchain. If after a period of time, the cumulative revenue generated based on the target work reaches 10,000 yuan, then credit points can be supplemented and deducted for the target business node that publishes the target work. The revenue generated based on the target target works continues to accumulate.
  • Method 2 For each of a plurality of specified periods, the copyright revenue generated by the target work in the specified period is counted as the copyright revenue corresponding to the specified period. An average of the copyright revenue corresponding to each of the multiple designated periods is obtained to obtain an average copyright revenue. If the average copyright revenue reaches a second specified amount, the corresponding credit credit reduction is determined according to the average copyright revenue. The amount of copyright credit points complements the reduction. Wherein, the determined supplementary reduction of the copyright credit score is positively related to the average copyright income.
  • a credit supplement deduction transaction is constructed based on the node identification and the determined copyright credit score supplement reduction, and the credit supplement deduction transaction is broadcast to the blockchain network, so that the After a plurality of business nodes pass the credit supplement deduction transaction consensus verification, a correspondence relationship between the node identification and the determined credit credit supplement supplement reduction is established and stored in the blockchain.
  • the second specified amount can be preset to be 10,000 yuan, and three amount ranges are set above the second specified amount, in order: [10000, 15000), [15000, 30000), [30000, 50000] ], And assign supplementary deduction coefficients of 0.5, 0.8, and 1 to the three amount ranges, respectively.
  • the target work is a plagiarism work
  • the copyright credit reduction caused by the target work is 20 points, which has been publicized on the blockchain.
  • the specified period is one month, and within 10 months after the target business node releases the target work, the average value of the revenue generated by the target work per month is 16,000 yuan, falling into the amount interval [ 15000, 30,000), and the corresponding supplementary deduction coefficient is 0.8, and the credit points supplementary deduction can be performed for the target business node that publishes the target work.
  • the target work is a plagiarized work
  • the credit credit reduction caused by the target work is 20 points
  • the target business node published the target work (identified as plagiarism)
  • the total credit points deducted so far have reached 20 + 16 36 points.
  • Method 3 Monitor the copyright revenue generated by the original work copied based on the target work. According to the monitored copyright gain, a copyright credit score supplementary reduction corresponding to the copyright credit score reduction is determined. Among them, the determined credit credit supplementary reduction is positively or negatively correlated with the monitored copyright revenue. Then, a credit supplement deduction transaction is constructed based on the node identification and the determined copyright credit score supplement reduction, and the credit supplement deduction transaction is broadcast to the blockchain network, so that the After a plurality of business nodes pass the credit supplement deduction transaction consensus verification, a correspondence relationship between the node identification and the determined credit credit supplement supplement reduction is established and stored in the blockchain.
  • the copyright gain generated by the original work copied from the target work is used as an indicator, and credit points are supplemented and deducted.
  • the loss suffered by the original work is used as a reference factor to determine the copy of the original work.
  • Penalty intensity of the target business node Specifically, it may be stipulated that the lower the income of the original work, the greater the credit credit supplementary reduction; it may also be stipulated that the lower the yield of the original work, the smaller the credit credit supplementary reduction.
  • a copyright credit increment is determined according to the originality characteristic value; and a credit is constructed based on the node identifier and the copyright credit increment.
  • Increase the transaction broadcast the credit increase transaction to the blockchain network so that multiple business nodes in the blockchain network pass the credit increase transaction consensus verification, and establish the node identifier and the Correspondences between copyright credit increments are stored in the blockchain.
  • the originality characteristic value corresponding to the target work is greater than the first specified threshold, which indicates that the target work has a higher degree of originality. This is encouraged by the blockchain copyright business model. This results in an increase in the credit score corresponding to the target business node that publishes the target work.
  • the increase in the credit score corresponding to the target business node means that the credit rating of the users corresponding to the target business node is improved.
  • the first specified threshold may be 60%, and if the originality characteristic value is greater than 60%, it indicates that the target work is highly original.
  • the copyright credit score increment refers to the score of the credit score that needs to be increased, which is usually a positive value.
  • the credit credit reduction can be determined randomly or according to actual business needs. Those skilled in the art can easily think of a variety of ways to determine the copyright credit increment based on the originality characteristic value. Preferably, the originality characteristic value may be positively correlated with the copyright credit score increment.
  • the second designated score is determined as the copyright credit score increment.
  • the third specified threshold is greater than the first specified threshold.
  • the business meaning here is that the originality characteristic value greater than the first specified threshold value indicates that the target work is more original, and the originality characteristic value greater than the third specified threshold value indicates that the target work is very original, which is basically possible Certified as an original work.
  • the target work is identified as an original work, and the copyright credit score increment is determined as a fixed score (that is, the second designated score). It can be seen that once a work is identified as an original work, the copyright credit increment caused by the original work can be a fixed value.
  • the copyright credit score increment is determined according to the originality characteristic value. At this time, the originality characteristic value is positively related to the determined copyright credit score increment, and the determined copyright credit score increment is smaller than the second designated score value.
  • the business meaning here is that although the originality characteristic value is greater than the first specified threshold, indicating that the degree of originality is high, but it is not greater than the third specified threshold, indicating that the degree of originality is not particularly high and it should not be considered an original work.
  • the copyright credit score increment may be smaller than the second designated score value, and the higher the originality characteristic value is, the higher the copyright credit score increment is.
  • the first specified threshold is 60%
  • the third specified threshold may be 80%. If the originality characteristic value corresponding to the target work is between 60% and 80%, the target is described. The originality of the work is high, but it should not be considered as an original work; if the originality characteristic value corresponding to the target work is greater than 80%, it means that the target work is very original and can be considered as an original work.
  • the originality characteristic value is greater than a third specified threshold (that is, when the target work is an original work)
  • the historical performance of the work may be published according to the target service node (for example, the target work has been released Of the works, the proportion of original works) to determine the copyright credit increment.
  • the number of published works corresponding to the target business node in the blockchain can be determined; if the number reaches a specified number, it is determined that the target business node has been published in the works of the blockchain, original works
  • the ratio is taken as the original ratio; if the original ratio is greater than the second specified ratio, a reward coefficient is determined according to the original ratio; the reward coefficient is not less than 1; the original ratio is positively related to the reward coefficient .
  • the specified number and the second specified ratio may both be specified according to actual business requirements.
  • the original ratio is greater than the first specified ratio, which means that the target business node has a better historical performance in publishing works, and the target business node should be increased in reward. Therefore, a reward coefficient of not less than 1 is determined. The reward coefficient is also larger.
  • the number of works that the target business node has published to the blockchain is 100, and the number of works (original works) whose originality representation value is greater than a third specified threshold is 80, then the original ratio is 80 %, It can be determined that the corresponding reward coefficient is 1.3.
  • the number of works that the target business node has published to the blockchain is 100, and the number of works (original works) whose originality representation value is greater than the third specified threshold is 60, then the original ratio is 60%, it can be determined that the corresponding reward coefficient is 1.1. It is worth emphasizing here that in combination with the foregoing, generally speaking, for the original ratio and the plagiarism ratio, when the two take the same value, the reward coefficient corresponding to the original ratio is smaller than the penalty coefficient corresponding to the plagiarism ratio.
  • the second designated score value may be multiplied by the reward coefficient, and the second designated score value multiplied by the reward coefficient may be determined as the copyright credit score. Incremental, this achieves the purpose of increasing rewards.
  • the target business node For example, suppose that before the target business node publishes the target work to the blockchain, 99 works have been published to the blockchain, of which 59 works are original works (that is, the originality characteristic value is greater than 80% of the third specified threshold). works). Subsequently, the target business node publishes the target work to the blockchain. It is determined that the originality characteristic value corresponding to the target work is 90%, which is greater than the third specified threshold value of 80%, indicating that the target work can be regarded as an original work. At this time, the copyright credit increment needs to be determined.
  • the credit score corresponding to the target business node can be obtained by combining the copyright credit score increment and the copyright credit score decrement corresponding to the target business node stored in the blockchain.
  • a credit increase transaction may be constructed based on the node identification of the target business node, the copyright credit increment and the work identification of the target work. Then, broadcasting the credit increase transaction to the blockchain network, so that multiple business nodes in the blockchain network pass the credit increase transaction consensus verification, and then establish the node identifier and the copyright credit.
  • the correspondence between the increments and the work identification is stored in the blockchain. In this way, the following information will also be publicized on the blockchain: the copyright credit increment is caused by the target work.
  • a credit deduction transaction may be constructed based on the node identification of the target business node, the copyright credit increment, the work identification of the target work, and the originality characteristic value. Then, broadcasting the credit increase transaction to the blockchain network, so that multiple business nodes in the blockchain network pass the credit increase transaction consensus verification, and then establish the node identifier and the copyright credit.
  • the correspondence between the increment, the work identification, and the originality characteristic value is stored in the blockchain. In this way, the following information will also be publicized on the blockchain: the copyright credit increment is caused by the target work, and the originality of the target work.
  • the target work is an original work (the originality characteristic value is less than the third specified threshold)
  • the credit increase transaction is broadcast to the blockchain network, it can also be monitored based on
  • the revenue generated by the target work uses the monitored revenue as an indicator to decide whether to further increase the copyright credit score increase caused by the target work.
  • Specific implementations include at least the following two:
  • Method 1 The copyright revenue generated based on the target work can be monitored; if the monitored copyright revenue reaches a third specified amount, the copyright credit score supplement corresponding to the reduction of the copyright credit score is determined according to the monitored copyright revenue. Increment; the determined copyright credit supplement supplement is positively correlated with the monitored copyright revenue; based on the node identification and the determined copyright credit supplement supplement, construct a credit supplement increase transaction; broadcast to the blockchain network
  • the credit supplement increase transaction enables multiple business nodes in the blockchain network to pass the credit supplement increase transaction consensus verification, and establishes a correspondence between the node identifier and the determined copyright credit supplement supplement. Relationships are stored in the blockchain.
  • the meaning of the supplementary increment of copyright credit points is that supplementing the increment of copyright credit points means that the supplementation of copyright credit points is actually increased, which is actually the increment of copyright credit points.
  • the distinction is described as "supplementary”.
  • the credit supplementary increase transaction is also a credit increase transaction in essence, and is also described here as a "supplementary" for the purpose of distinguishing in description.
  • the third designated amount may be designated according to business needs. If the monitored revenue does not reach the third designated amount, it means that the cumulative revenue of the target work is less, and the credit points may not be supplemented and increased.
  • the third specified amount can be preset to be 10,000 yuan, and three amount ranges are set above the third specified amount, which are [10000, 15000), [15000, 30000), and [30000, 50000]. ], And assign supplementary increase factors of 0.5, 0.8, and 1 to the three amount intervals. It is assumed that the target work is an original work, and the copyright credit points increment caused by the target work is 20 points, which has been publicized on the blockchain. If after a period of time, the cumulative revenue generated based on the target work reaches 10,000 yuan, the credit points can be supplemented and increased for the target business node that publishes the target work. Based on the target target work, the revenue generated continues to accumulate.
  • Method 2 For each specified period of a plurality of specified periods, the copyright revenue generated by the target work in the specified period is counted as the copyright revenue corresponding to the specified period; the copyright revenue corresponding to the multiple specified periods is respectively An average value is obtained to obtain an average copyright income; if the average copyright income reaches a fourth designated amount, a copyright credit score supplementary increment corresponding to the copyright credit score increment is determined according to the average copyright gain; the determined copyright A credit supplement supplement is positively correlated with the average copyright revenue increase; constructing a credit supplement increase transaction based on the node identification and the determined copyright credit supplement supplement; broadcasting the credit supplement increase transaction to the blockchain network, In order to enable multiple business nodes in the blockchain network to pass the credit supplement and increase transaction consensus verification, a correspondence between the node identification and the determined copyright credit supplement supplement supplement is established and stored in the block. chain.
  • the fourth specified amount can be preset to be 10,000 yuan, and three amount ranges are set above the fourth specified amount, in order: [10000, 15000), [15000, 30000), [30000, 50000] ], And assign supplementary increase factors of 0.3, 0.5, and 0.8 to the three amount ranges, respectively. It is assumed that the target work is an original work, and the copyright credit points increment caused by the target work is 20 points, which has been publicized on the blockchain.
  • the specified period is one month, and within 10 months after the target business node releases the target work, the average value of the revenue generated by the target work per month is 16,000 yuan, falling into the amount interval [ 15000, 30000), and the corresponding supplementary increase factor is 0.5, and the credit points can be supplemented and increased for the target business node that publishes the target work.
  • the target work is an original work
  • the copyright credit score increment caused by the target work is 20 points
  • a preset service restriction operation is performed on the target service node.
  • this description does not specifically limit the operation of the business right restriction.
  • the business right operation may be to prohibit a target business node from publishing works to the blockchain.
  • the comprehensive credit score of the user corresponding to the target service node may also be adjusted according to the copyright credit score corresponding to the target service node.
  • the copyright credit score corresponding to the target business node may be divided by the number of works published by the target business node to the blockchain to obtain a modified copyright credit score corresponding to the target business node. Then, the modified copyright credit score is provided to a comprehensive credit evaluation party, so that the comprehensive credit evaluation party converts the modified copyright credit score into a comprehensive credit reference score according to the modified copyright credit score and a preset conversion rule. And adjusting the comprehensive credit score of the user corresponding to the target service node according to the comprehensive credit reference score.
  • the copyright credit score described in the present invention is a credit score that measures a person's credit level in the copyright business field
  • the comprehensive credit score may be a central bank credit score, a sesame credit score, and other credit scores that measure a person's comprehensive credit.
  • the comprehensive credit evaluator can convert the modified copyright credit score of 10 points into a comprehensive credit reference score of 5 points, and adjust the corresponding target business node accordingly. User ’s comprehensive credit score.
  • the embodiment of this specification also provides a system for credit evaluation of a work publisher based on a blockchain, as shown in FIG. 2, Including: multiple blockchain nodes;
  • the blockchain node For each blockchain node, the blockchain node has the function of implementing the method shown in FIG. 1 and / or participates in the consensus verification of the credit deduction transaction, and the consensus verification of the credit deduction transaction passes Then, a correspondence relationship between the node identifier and the copyright credit reduction is established and stored in a blockchain.
  • the embodiment of this specification also provides a device for credit evaluation of a work publisher based on a blockchain, as shown in FIG. 3,
  • the blockchain network includes several business nodes. For each business node, the business node has the right to publish works to the blockchain.
  • the device includes:
  • the originality analysis module 301 performs originality analysis on the target work released by the target business node to the blockchain based on the published works in the blockchain, and obtains the originality characteristic value corresponding to the target work; the target business node Is any business node; the originality characteristic value is positively related to the originality of the target work;
  • the determining module 302 if the originality characteristic value is less than a first specified threshold, determining a copyright credit reduction based on the originality characteristic value;
  • a credit deduction transaction construction module 303 based on the node identification of the target business node and the copyright credit reduction amount, constructing a credit deduction transaction
  • the credit deduction transaction broadcasting module 304 broadcasts the credit deduction transaction to the blockchain network, so that a plurality of business nodes in the blockchain network pass the credit deduction transaction consensus verification, and then establish A correspondence between the node identifier and the copyright credit reduction and stored in a blockchain;
  • the copyright credit score corresponding to the target service node is positively related to the credit evaluation of the user corresponding to the target service node.
  • the determining module 302 if the originality characteristic value is smaller than the second specified threshold, determine the first specified score as the copyright credit decrement; the second specified threshold is smaller than the first specified threshold; if If the originality characteristic value is not less than the second specified threshold value, the credit credit reduction is determined according to the originality characteristic value; wherein if the originality characteristic value is not less than the second specified threshold value, all The originality characteristic value is negatively related to the determined copyright credit score reduction, and the determined copyright credit score reduction is less than the first designated score.
  • the target work is a plagiarized work
  • the device further includes: a penalty coefficient determination module 305, if the originality characteristic value is less than a second specified threshold, then before determining the first specified score as the copyright credit reduction, determine that the corresponding value in the blockchain corresponds to the The number of published works of the target business node; if the number reaches the specified number, determine the proportion of the target business node that has been published on the blockchain, and the proportion of the plagiarized work is used as the plagiarism ratio; if If the plagiarism ratio is greater than the first specified ratio, a penalty coefficient is determined according to the plagiarism ratio; the penalty coefficient is not less than 1; the plagiarism ratio is positively related to the penalty coefficient;
  • the determining module 302 multiplies the penalty coefficient by a first designated score value; determines the first designated score value multiplied by the penalty coefficient as a copyright credit reduction.
  • the device further includes a first supplementary deduction module 306, and if the originality characteristic value is less than a second specified threshold value, after broadcasting the credit deduction transaction to the blockchain network, monitoring based on the target work Generated copyright revenue; if the monitored copyright revenue reaches the first specified amount, determine the supplementary reduction of the copyright credit points corresponding to the reduction of the copyright credit points based on the monitored copyright revenue; the supplementary reduction of the determined copyright credit points The amount is positively related to the monitored copyright revenue; a credit supplement deduction transaction is constructed based on the node identification and the determined credit credit supplement supplement reduction; the credit supplement deduction transaction is broadcast to the blockchain network so that After a plurality of business nodes in the blockchain network pass the credit supplement deduction transaction consensus verification, a correspondence relationship between the node identification and the determined credit credit supplement supplement reduction is established and stored in the blockchain .
  • the device further includes a second supplementary deduction module 307. If the originality characteristic value is less than a second specified threshold value, the credit deduction transaction is broadcast to the blockchain network for a plurality of specified periods. For each specified period, the copyright revenue generated in the specified period based on the target work is counted as the copyright revenue corresponding to the specified period; the copyright revenue corresponding to the multiple specified periods is averaged to obtain the average copyright revenue.
  • the average copyright revenue reaches a second designated amount, determining a copyright credit score supplementary reduction corresponding to the copyright credit score reduction based on the average copyright revenue; the determined copyright credit score supplementary reduction and the The average copyright revenue is positively correlated; constructing credit supplement deduction transactions based on the node identification and the determined credit credit credit supplement reductions; broadcasting the credit supplement deduction transactions to the blockchain network to enable the blocks After a plurality of business nodes in the chain network pass the credit supplement deduction transaction consensus verification, the node identification and the determined copyright credit score are established. Complement the corresponding relationship between the reductions and store them in the blockchain.
  • the target work is a plagiarized work
  • the device further includes a third supplementary deduction module 308, and if the originality characteristic value is less than a second specified threshold value, after broadcasting the credit deduction transaction to the blockchain network, monitoring based on the target work Copyright gains from plagiarized original works; based on the monitored copyright gains, determining the supplementary reduction of copyright credit points corresponding to the reduction of the copyright credit points; the determined supplementary reduction of copyright credit points is positively correlated with the monitored copyright revenue Or a negative correlation; constructing a credit supplement deduction transaction based on the node identification and the determined copyright credit credit supplement reduction; broadcasting the credit supplement deduction transaction to the blockchain network to enable the blockchain network After a plurality of business nodes in the credit supplement deduction transaction consensus verification pass, a correspondence between the node identification and the determined credit credit supplement supplement reduction is established and stored in the blockchain.
  • the apparatus further includes: a credit increasing module 309, if the originality characteristic value is greater than the first specified threshold, determining a copyright credit increment based on the originality characteristic value; based on the node identifier and the The copyright credit is divided into increments to construct a credit increase transaction; broadcasting the credit increase transaction to the blockchain network, so that multiple business nodes in the blockchain network pass consensus verification of the credit increase transaction, Establish a correspondence between the node identifier and the copyright credit score increment and store it in the blockchain.
  • a credit increasing module 309 if the originality characteristic value is greater than the first specified threshold, determining a copyright credit increment based on the originality characteristic value; based on the node identifier and the The copyright credit is divided into increments to construct a credit increase transaction; broadcasting the credit increase transaction to the blockchain network, so that multiple business nodes in the blockchain network pass consensus verification of the credit increase transaction, Establish a correspondence between the node identifier and the copyright credit score increment and store it in the blockchain.
  • the credit increasing module 309 if the originality characteristic value is greater than a third specified threshold value, determine the second specified score value as the copyright credit point increment; the third specified threshold value is greater than the first specified threshold value; if If the originality characteristic value is not greater than the third specified threshold value, the copyright credit score increment is determined according to the originality characteristic value; wherein if the originality characteristic value is not greater than the third specified threshold value, then The originality characteristic value is positively related to the determined copyright credit score increment, and the determined copyright credit score increment is smaller than the second designated score value.
  • the target work is an original work
  • the credit increasing module 309 determines the value of the block chain corresponding to the target business node.
  • the number of published works if the number reaches the specified number, determine the proportion of original works that the target business node has published on the blockchain, as the original ratio; if the original ratio is greater than the second
  • a designated ratio is specified, a reward coefficient is determined according to the original ratio; the reward coefficient is not less than 1; the original ratio is positively related to the reward coefficient; and the reward system is multiplied by a second designated score; The second designated score value multiplied by the reward coefficient is determined as the copyright credit score increment.
  • the credit increasing module 309 if the originality characteristic value is greater than a third specified threshold value, after broadcasting the credit increasing transaction to the blockchain network, monitor the copyright revenue generated based on the target work; if monitoring When the obtained copyright income reaches the third designated amount, the copyright credit score supplementary increment corresponding to the copyright credit score increment is determined according to the monitored copyright revenue; the determined copyright credit score supplementary increment and the monitored copyright gain Positive correlation; constructing a credit supplementary increase transaction based on the node identification and the determined copyright credit supplementary increment; broadcasting the credit supplementary increase transaction to the blockchain network to make multiple After each business node passes the verification of the credit supplementary transaction consensus verification, a correspondence between the node identification and the determined copyright credit supplementary increment is established and stored in the blockchain.
  • the credit increasing module 309 if the originality characteristic value is greater than a third specified threshold value, after broadcasting the credit increasing transaction to the blockchain network, for each specified period of a plurality of specified periods, the statistics are counted.
  • the copyright revenue generated by the target work is taken as the copyright revenue corresponding to the specified period; the copyright revenues corresponding to the multiple specified periods are averaged to obtain an average copyright revenue; if the average copyright revenue reaches A fourth designated amount, according to the average copyright income, determine a copyright credit score supplementary increment corresponding to the copyright credit score increment; the determined copyright credit score supplementary increment is positively related to the average copyright gain; based on the The node identification and the determined copyright credit supplementary increment, constructing a credit supplementary increase transaction; and broadcasting the credit supplementary increase transaction to the blockchain network, so that a plurality of business nodes in the blockchain network After the credit supplement increase transaction consensus verification is passed, the correspondence between the node identifier and the determined copyright credit supplement supplement is established.
  • the apparatus further includes a rights limiting module 310, which executes a preset service right limiting operation for the target service node when the copyright credit score corresponding to the target service node is lower than a preset score.
  • the apparatus further includes an adjustment module 311, which adjusts the comprehensive credit score of the user corresponding to the target service node according to the copyright credit score corresponding to the target service node.
  • the adjusting module 311 divides the copyright credit score corresponding to the target business node by the number of works published by the target business node to the blockchain to obtain the revised copyright credit score corresponding to the target business node;
  • the modified copyright credit score is provided to the comprehensive credit evaluation party, so that the comprehensive credit evaluation party converts the modified copyright credit score into an integrated credit reference score according to the modified copyright credit score and a preset conversion rule, and
  • the comprehensive credit reference score is adjusted, and the comprehensive credit score of the user corresponding to the target service node is adjusted.
  • An embodiment of the present specification further provides a computer device including at least a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the method described in FIG. 1 when the program is executed.
  • FIG. 4 shows a more specific schematic diagram of the hardware structure of a computing device provided by an embodiment of the present specification.
  • the device may include a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050.
  • the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 implement a communication connection within the device through a bus 1050.
  • the processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits, and is used to execute related Program to implement the technical solutions provided by the embodiments of this specification.
  • a general-purpose CPU Central Processing Unit
  • ASIC Application Specific Integrated Circuit
  • the memory 1020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage devices, dynamic storage devices, and the like.
  • the memory 1020 may store an operating system and other application programs.
  • related program codes are stored in the memory 1020 and are called and executed by the processor 1010.
  • the input / output interface 1030 is used to connect an input / output module to implement information input and output.
  • the input / output / module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions.
  • the input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc.
  • the output device may include a display, a speaker, a vibrator, and an indicator light.
  • the communication interface 1040 is used to connect a communication module (not shown in the figure) to implement communication interaction between the device and other devices.
  • the communication module can implement communication through a wired method (such as USB, network cable, etc.), and can also implement communication through a wireless method (such as mobile network, WIFI, Bluetooth, etc.).
  • the bus 1050 includes a path for transmitting information between various components of the device (for example, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).
  • the device may also include necessary for achieving normal operation Other components.
  • the foregoing device may also include only components necessary to implement the solutions of the embodiments of the present specification, and does not necessarily include all the components shown in the drawings.
  • An embodiment of the present specification also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the functions of the method described in FIG. 1 are implemented.
  • Computer-readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information can be stored by any method or technology.
  • Information may be computer-readable instructions, data structures, modules of a program, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), and read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, read-only disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media may be used to store information that can be accessed by computing devices.
  • computer-readable media does not include temporary computer-readable media, such as modulated data signals and carrier waves.
  • the embodiments of the present specification can be implemented by means of software plus a necessary universal hardware platform. Based on such an understanding, the technical solutions of the embodiments of the present specification may be embodied in the form of software products that are essentially or contribute to the existing technology.
  • the computer software product may be stored in a storage medium, such as ROM / RAM, Magnetic disks, optical disks, and the like include a number of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or portions of the embodiments of this specification.
  • the system, method, module, or unit described in the foregoing embodiments may be specifically implemented by a computer chip or entity or a product with a certain function.
  • a typical implementation device is a computer, and the specific form of the computer may be a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email sending and receiving device, and a game control Desk, tablet computer, wearable device, or a combination of any of these devices.
  • each embodiment in this specification is described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.
  • the description is relatively simple, and for the relevant parts, refer to the description of the method embodiments.
  • the method embodiments described above are only schematic, and the modules described as separate components may or may not be physically separated. When implementing the solutions of the embodiments of this specification, the functions of each module may be the same. Or multiple software and / or hardware. Some or all of the modules may also be selected according to actual needs to achieve the objective of the solution of this embodiment. Those of ordinary skill in the art can understand and implement without creative efforts.

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Abstract

公开了一种基于区块链对作品发布者进行信用评价的方法及装置。可以对目标业务节点(任一业务节点)向区块链发布的目标作品进行原创性分析，得到目标作品对应的原创性表征值，如果原创性表征值较低(说明目标作品涉嫌抄袭)，则会对目标业务节点对应的版权信用分进行扣减，针对目标业务节点扣减的版权信用分(即版权信用分减量)需要经过多个业务节点的共识验证且共识验证通过后，才能被公示于区块链。区块链上可以公示有目标业务节点对应的版权信用分扣减记录，可以据此确定目标业务节点对应的版权信用分，目标业务节点对应的版权信用分越低，说明目标业务节点的信用水平越差。

Description

一种基于区块链对作品发布者进行信用评价的方法及装置 技术领域
本说明书实施例涉及信息技术领域，尤其涉及一种基于区块链对作品发布者进行信用评价的方法及装置。
背景技术
在版权保护领域，为了对作品抄袭行为进行处罚，可以引入信用评价机制，一个人的作品抄袭行为会直接影响到对这个人的信用评价。
实践中，从事作品创作工作的人可以预先在版权信用评价方(通常可以是版权相关行业协会、版权相关行业内的大企业等)的服务器上注册为用户。当所述服务器监测到某个用户发布的作品涉嫌抄袭时，就会调低存储的对应于该用户的版权信用分。
然而，在版权保护领域，需要一种更为公开可信的，针对作品发布者的信用评价方法。
发明内容
为了解决现有的针对作品发布者的信用评价方法不够公开可信的问题，本说明书实施例提供一种基于区块链对作品发布者进行信用评价的方法及装置，技术方案如下：
根据本说明书实施例的第1方面，提供一种基于区块链对作品发布者进行信用评价的方法，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限，所述方法包括：
根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值；所述目标业务节点是任一业务节点；所述原创性表征值与所述目标作品的原创程度正相关；
若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量；
基于所述目标业务节点的节点标识与所述版权信用分减量，构建信用扣减交易；
向所述区块链网络广播所述信用扣减交易，以使所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链；
其中，所述目标业务节点对应的版权信用分与对所述目标业务节点对应的用户的信用评价正相关。
根据本说明书实施例的第2方面，提供一种基于区块链对作品发布者进行信用评价的装置，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限，所述装置包括：
原创性分析模块，根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值；所述目标业务节点是任一业务节点；所述原创性表征值与所述目标作品的原创程度正相关；
确定模块，若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量；
信用扣减交易构建模块，基于所述目标业务节点的节点标识与所述版权信用分减量，构建信用扣减交易；
信用扣减交易广播模块，向所述区块链网络广播所述信用扣减交易，以使所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链；
其中，所述目标业务节点对应的版权信用分与对所述目标业务节点对应的用户的信用评价正相关。
本说明书实施例所提供的技术方案，可以对目标业务节点(任一业务节点)向区块链发布的目标作品进行原创性分析，得到目标作品对应的原创性表征值，如果原创性表征值较低(说明目标作品涉嫌抄袭)，则会对目标业务节点对应的版权信用分进行扣减，针对目标业务节点扣减的版权信用分(即版权信用分减量)需要经过多个业务节点的共识验证且共识验证通过后，才能被公示于区块链。区块链上可以公示有目标业务节点对应的版权信用分扣减记录，可以据此确定目标业务节点对应的版权信用分，目标业务节点对应的版权信用分越低，说明目标业务节点的信用水平越差。如此，利用区块链具有的数据记录可追溯和数据记录不可篡改的特性，可以建立一个更为公开可信的，针对作品发布者的信用评价体系。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本说明书实施例。
此外，本说明书实施例中的任一实施例并不需要达到上述的全部效果。
附图说明
为了更清楚地说明本说明书实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本说明书实施例中记载的一些实施例，对于本领域普通技术人员来讲，还可以根据这些附图获得其他的附图。
图1是本说明书实施例提供的一种基于区块链对作品发布者进行信用评价的方法的流程示意图；
图2是本说明书实施例提供的一种基于区块链对作品发布者进行信用评价的装置的结构示意图；
图3是本说明书实施例提供的一种基于区块链对作品发布者进行信用评价的系统的结构示意图；
图4是用于配置本说明书实施例方法的一种计算机设备的结构示意图。
具体实施方式
目前，针对作品发布者进行信用评价的方法通常是由版权信用评价方的服务器来执行的，这种中心化的信用评价方式不够公开透明。并且，存储于版权信用评价方的服务器上的对应于每个作品发布者的版权信用分有可能被篡改，导致现有的针对作品发布者进行信用评价的方法可信性不高。
鉴于此，本发明提出了一套基于区块链对作品发布者进行信用评价的解决方案。利用区块链具有的数据记录可追溯和数据记录不可篡改的特性，构建一个公开可信的，针对作品发布者的信用评价体系。在这种体系下，区块链网络中的每个业务节点对应的版权信用分的扣减都需要经过多个业务节点的共识验证，并且，每个业务节点对应的版权信用分减量一旦存入区块链，就无法撤销，也无法被篡改。因此，针对每个业务节点，该业务节点对应的版权信用分的高低可以准确反映出该业务节点对应的用户在版权业务领域内的信用水平的高低。通过这种信用评价体系，可以有效规范业务节点发布作品 的行为，遏制业务节点发布抄袭作品的行为。
为了使本领域技术人员更好地理解本说明书实施例中的技术方案，下面将结合本说明书实施例中的附图，对本说明书实施例中的技术方案进行详细地描述，显然，所描述的实施例仅仅是本说明书的一部分实施例，而不是全部的实施例。基于本说明书中的实施例，本领域普通技术人员所获得的所有其他实施例，都应当属于保护的范围。
以下结合附图，详细说明本说明书各实施例提供的技术方案。
图1是本说明书实施例提供的一种基于区块链对作品发布者进行信用评价的方法的流程示意图，包括以下步骤：
S100：根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值。
在本说明书实施例中，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限。
本方法的执行主体可以是区块链网络中的任一业务节点(称为执行业务节点)，所述执行业务节点通过调用区块链中存储的用于实现图1所示方法流程的智能合约，执行图1所示的方法。需要说明的是，所述执行业务节点可以是在每当需要执行图1所示方法时，在各业务节点中随机指定。
还需要说明的是，由于所述目标业务节点也是区块链网络中的任一业务节点，因此，所述目标业务节点和所述执行业务节点有可能是同一业务节点。
此外，还可以在区块链网络中加入管理节点，作为图1所示方法的执行主体。所述管理节点不参与执行版权业务，只是负责对版权业务进行管理。所述管理节点通常也是通过调用区块链中存储的用于实现图1所示方法流程的智能合约，来执行图1所示的方法的。
本文所述的针对目标作品的原创性分析通常是指，基于作品库，采用数字分析手段，将目标作品的数字形式与作品库中的参考作品的数字形式进行比对，从作品库中确定出与目标作品最相似的参考作品，作为重点参考作品，并得到目标作品与重点参考作品的相似度。此是本领域技术人员所熟知的技术手段。
其中，所述相似度一般是介于0～100％之间的值，表征目标作品与重点参考作品之间的相似程度。举例来说，所述相似度为20％，表明目标作品与重点参考作品有20％的 部分相似。显然，所述相似度越高，所述目标作品的原创程度越低。
需要说明的是，在本说明书实施例中，所述原创性表征值是根据所述相似度确定的，所述相似度与所述原创性表征值负相关，所述原创性表征值与所述目标作品的原创程度正相关。即目标作品与该参考作品越相似，所述原创性表征值越低，所述目标作品的原创程度越低。例如，可以将(1-所述相似度)作为所述原创性表征值。
此外，针对目标作品的原创性分析手段不限于上述这一种，只要基于作品库，对目标作品进行原创性分析以得到目标作品对应的原创性表征值的技术手段，都可以应用于本说明书实施例。
在本说明书实施例，所述目标作品是目标业务节点向区块链发布的一个作品，而区块链中的已发布作品实际上可以视为作品库，用于对目标作品进行原创性分析。
需要说明的是，可以当目标业务节点请求向区块链发布目标作品时，对目标作品进行原创性分析，也可以是当目标业务节点已经将目标作品发布至区块链后，再对目标作品进行原创性分析。
S102：若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量。
在本说明书实施例中，可以预设第一指定阈值，若所述目标作品对应的原创性表征值小于所述第一指定阈值，就说明所述目标作品的原创程度较低，对区块链中的已发布作品的模仿程度较高，这不是区块链版权业务模式所鼓励的，会导致发布所述目标作品的目标业务节点对应的信用分的扣减。目标业务节点对应的信用分的扣减，意味着对目标业务节点对应的用户的信用评价降低。
例如，所述第一指定阈值可以是60％，若所述原创性表征值小于60％，说明所述目标作品的原创程度较低。
在本说明书实施例中，所述版权信用分减量是指需要扣减的信用分的分值，其通常是一个正值。所述版权信用分减量可以随机确定，也可以根据实际业务需要确定，本领域技术人员很容易想到多种多样的方式，根据所述原创性表征值，确定版权信用分减量。优选地，所述原创性表征值可以与所述版权信用分减量负相关。
本文示例性地提供一种确定所述版权信用分减量的方式如下，本领域技术人员应当理解，这并不构成对本方案的限制。
具体地，若所述原创性表征值小于第二指定阈值，则可以将第一指定分值确定为版权信用分减量。其中，所述第二指定阈值小于所述第一指定阈值。此处的业务含义为，所述原创性表征值小于第一指定阈值说明目标作品的原创程度较低，而所述原创性表征值小于第二指定阈值说明目标作品的原创程度过低，基本可以认定为抄袭作品。此时，将目标作品认定为抄袭作品，并将所述版权信用分减量确定为一个固定的分值(即第一指定分值)。可见，一件作品一旦被认定为抄袭作品，由该抄袭作品引发的版权信用分减量可以是一个固定的分值。
若所述原创性表征值不小于所述第二指定阈值，则根据所述原创性表征值，确定版权信用分减量。此时，所述原创性表征值与确定的版权信用分减量负相关，且确定的版权信用分减量小于所述第一指定分值。此处的业务含义为，所述原创性表征值虽然小于第一指定阈值，说明原创程度较低，但是没有小于第二指定阈值，说明原创程度没有过低，不宜认定为抄袭作品，这种情况下，所述版权信用分减量可以小于第一指定分值，并且，所述原创性表征值越高，版权信用分减量越低。
例如，所述第一指定阈值为60％，所述第二指定阈值可以是40％，若所述目标作品对应的原创性表征值如果介于40％～60％之间，则说明所述目标作品原创程度较低，但是不宜将之认定为抄袭作品；若所述目标作品对应的原创性表征值小于40％，则说明所述目标作品原创程度过低，可将之认定为抄袭作品。
更进一步地，当所述目标作品被认定为抄袭作品时(即当所述原创性表征值小于第二指定阈值时)，可以根据所述目标业务节点发布作品的历史表现(例如，所述目标作品已发布的作品中，抄袭作品的比例)，来确定所述版权信用分减量。
具体地，可以确定区块链中对应于所述目标业务节点的已发布作品的数量，若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，抄袭作品所占的比例，作为抄袭比例。若所述抄袭比例大于第一指定比例，则根据所述抄袭比例，确定惩罚系数；所述惩罚系数不小于1；所述抄袭比例与所述惩罚系数正相关。
其中，所述指定数量和所述第一指定比例都可以根据实际业务需要指定。所述抄袭比例大于第一指定比例，意味着目标业务节点发布作品的历史表现较为糟糕，应当加重对目标业务节点的惩罚，因此，确定不小于1的惩罚系数，所述抄袭比例越高，所述惩罚系数也越大。
例如，所述目标业务节点已发布至区块链的作品的数量为100，其中，原创性表征 值小于第二指定阈值的作品(即抄袭作品)的数量为80，则所述抄袭比例为80％，可以确定相应的惩罚系数为1.5。又如，所述目标业务节点已发布至区块链的作品的数量为100，其中，原创性表征值小于第二指定阈值的作品(即抄袭作品)的数量为60，则所述抄袭比例为60％，可以确定相应的惩罚系数为1.3。
如此，即当所述原创性表征值小于第二指定阈值时，可以将第一指定分值乘以所述惩罚系数，将乘以所述惩罚系数后的第一指定分值确定为版权信用分减量，这就实现了加重惩罚的目的。
例如，假设目标业务节点向区块链发布所述目标作品之前，已经向区块链发布了99件作品，其中有59件作品是抄袭作品(即原创性表征值小于第二指定阈值40％的作品)。随后，目标业务节点向区块链发布所述目标作品。通过步骤S100，确定所述目标作品对应的原创性表征值30％，小于第二指定阈值40％，说明所述目标作品可被认定为抄袭作品。此时，需要确定版权信用分减量。具体地，首先判断截至目前目标业务节点向区块链发布的作品数量是否达到指定数量(比如指定数量为100)，显然已经达到，随后，确定抄袭比例为60％，相应的惩罚系数为1.3。假设第一指定分值为20分，那么所述版权信用分减量为20*1.2＝24分。
S104：基于所述目标业务节点的节点标识与所述版权信用分减量，构建信用扣减交易。
在本说明书中所描述的交易(transfer)，是指用户通过区块链的客户端创建，并需要最终发布至区块链的分布式数据库中的一笔数据。
其中，区块链中的交易，存在狭义的交易以及广义的交易之分。狭义的交易是指用户向区块链发布的一笔价值转移；例如，在传统的比特币区块链网络中，交易可以是用户在区块链中发起的一笔转账。而广义的交易是指用户向区块链发布的一笔具有业务意图的业务数据；例如，运营方可以基于实际的业务需求搭建一个联盟链，依托于联盟链部署一些与价值转移无关的其它类型的在线业务(比如，租房业务、车辆调度业务、保险理赔业务、信用服务、医疗服务等)，而在这类联盟链中，交易可以是用户在联盟链中发布的一笔具有业务意图的业务消息或者业务请求。
在本说明书实施例中，所述信用扣减交易，实际上是指包含所述目标业务节点的节点标识与所述版权信用分减量的数据。
S106：向所述区块链网络广播所述信用扣减交易。
将所述信用扣减交易广播给区块链网络，就可以使得，所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链(即将所述节点标识与所述版权信用分减量之间的对应关系存入区块链)。其中，所述多个业务节点可以是区块链网络中的所有业务节点，也可以是所述区块链网络中的部分业务节点。
如此，就完成了针对目标业务节点的信用分扣减，对目标业务节点扣减的信用分(即目标业务节点对应的信用分减量)会被公示于区块链。
此处需要说明的是，在本说明书实施例中，可以预先为区块链网络中的每个业务节点分配一定的初始版权信用分，也可以不为每个业务节点分配初始版权信用分，那么每个业务节点对应的初始版权信用分就是0。
假设目标业务节点对应的初始版权信用分为100分，通过步骤S100～S106，对应于所述目标业务节点的版权信用分减量(假设是15分)被公示于区块链，那么相当于将目标业务节点对应的信用分由100分调整为100-15＝85分。
通过图1所示的基于区块链对作品发布者进行信用评价的方法，可以对目标业务节点(任一业务节点)向区块链发布的目标作品进行原创性分析，得到目标作品对应的原创性表征值，如果原创性表征值较低(说明目标作品涉嫌抄袭)，则会对目标业务节点对应的版权信用分进行扣减，针对目标业务节点扣减的版权信用分(即版权信用分减量)需要经过多个业务节点的共识验证且共识验证通过后，才能被公示于区块链。区块链上可以公示有目标业务节点对应的版权信用分扣减记录，可以据此确定目标业务节点对应的版权信用分，目标业务节点对应的版权信用分越低，说明目标业务节点的信用水平越差。如此，利用区块链具有的数据记录可追溯和数据记录不可篡改的特性，可以建立一个公开可信的，针对作品发布者的信用评价体系，以此来遏制业务节点发布抄袭作品的行为。
此外，在步骤S104中，可以基于所述目标业务节点的节点标识、所述版权信用分减量和所述目标作品的作品标识，构建信用扣减交易。在步骤S106中，向所述区块链网络广播所述信用扣减交易，使得所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识、所述版权信用分减量、所述作品标识之间的对应关系并存入区块链。如此，如下信息也会被公示于区块链：所述版权信用减量是由所述目标作品导致的。
进一步地，在步骤S104中，可以基于所述目标业务节点的节点标识、所述版权信用分减量、所述目标作品的作品标识、所述原创性表征值，构建信用扣减交易。在步骤S106中，向所述区块链网络广播所述信用扣减交易，使得所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识、所述版权信用分减量、所述作品标识、所述原创性表征值之间的对应关系并存入区块链。如此，如下信息也会被公示于区块链：所述版权信用减量是由所述目标作品导致的，以及所述目标作品的原创程度。
另外，在本说明书实施例中，若所述目标作品是抄袭作品(原创性表征值小于第二指定阈值)，则向所述区块链网络广播所述信用扣减交易之后，还可以通过监测基于目标作品产生的收益，以监测到的收益为指标，决定是否增加由所述目标作品导致的版权信用分减量。具体的实施方式至少包括以下三种：
方式一：可以监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第一指定金额，则根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
其中，所述版权信用分补充减量的含义为，针对所述版权信用分减量进行的补充，意味着版权信用分的补充扣减，其实际上也是版权信用分减量，此处只是为了描述上的区分，将称描述为“补充”。所述信用补充扣减交易本质上也是信用扣减交易，此处也是为了描述上的区分，将之描述为“补充”。
需要说明的是，所述第一指定金额可以根据业务需要指定。若监测到的收益未达到第一指定金额，说明所述目标作品的累积收益较少(即侵犯版权所获得的收益较少)，可以不进行信用分的补充扣减。
举例来说，可以预设所述第一指定金额为10000元，在所述第一指定金额以上，设置3个金额区间，依次为[10000，15000)、[15000，30000)、[30000，50000]，并分别为这3个金额区间分配补充扣减系数0.5、0.8、1。假设目标作品为抄袭作品，由目标作品导致的版权信用分减量为20分，已经被公示于区块链。若经过一段时间，基于所述目标作品产生的累积收益达到10000元，则可以针对发布所述目标作品的目标业务节 点进行信用分补充扣减。基于所述目标目标作品产生的收益在持续累积，当累积收益落入区间[10000，15000)，则需要针对目标业务节点补充扣减的版权信用分为20*0.5＝10分，相当于，由于目标业务节点发布了所述目标作品(被认定抄袭)，截至目前总共被扣减的信用分达到了20+10＝30分。接着，当累积收益落入区间[15000，30000)，则需要再次针对目标业务节点补充扣减的版权信用分为20*0.8＝16分，相当于，由于目标业务节点发布了所述目标作品(被认定抄袭)，截至目前总共被扣减的信用分达到了20+10+16＝46分，随着收益的不断累积，目标业务节点因发布抄袭作品所被扣减的版权信用分还会更多。
方式二：针对多个指定周期中每个指定周期，统计该指定周期内，所述目标作品产生的版权收益，作为该指定周期对应的版权收益。对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益，若所述平均版权收益达到第二指定金额，则根据所述平均版权收益，确定对应于所述版权信用分减量的版权信用分补充减量。其中，确定的版权信用分补充减量与所述平均版权收益正相关。然后，基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易，向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
对于方式二，实际上根据所述目标作品在多个指定周期内的平均收益，决定是否进行信用分补充扣减。
举例来说，可以预设所述第二指定金额为10000元，在所述第二指定金额以上，设置3个金额区间，依次为[10000，15000)、[15000，30000)、[30000，50000]，并分别为这3个金额区间分配补充扣减系数0.5、0.8、1。假设目标作品为抄袭作品，由目标作品导致的版权信用分减量为20分，已经被公示于区块链。假设所述指定周期为1个月，可以统计目标业务节点发布所述目标作品后的10个月内，每个月基于所述目标作品产生的收益的平均值为16000元，落入金额区间[15000，30000)，相应的补充扣减系数为0.8，可以针对发布所述目标作品的目标业务节点进行信用分补充扣减。假设目标作品为抄袭作品，由目标作品导致的版权信用分减量为20分，那么具体的扣减为，20*0.8＝16分。相当于，由于目标业务节点发布了所述目标作品(被认定抄袭)，截至目前总共被扣减的信用分达到了20+16＝36分。
方式三：监测基于所述目标作品抄袭的原创作品产生的版权收益。根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量。其中，确定的版权信 用分补充减量与监测到的版权收益正相关或负相关。然后，基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易，向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
对于方式三，实际上是以所述目标作品抄袭的原创作品产生的版权收益为指标，进行信用分补充扣减，将所述原创作品所蒙受的损失作为参考因素，确定对抄袭所述原创作品的目标业务节点的惩罚力度。具体地，可以规定：所述原创作品的收益越低，所述信用分补充减量越大；也可以规定：所述原创作品的收益越低，所述信用分补充减量越小。
另外，在本说明书实施例中，不仅可以针对发布原创程度较低的作品的目标业务节点进行版权信用分扣减，也可以针对发布原创程度较低高的作品的目标业务节点进行版权信用分激励。
具体地，若所述原创性表征值大于所述第一指定阈值，则根据所述原创性表征值，确定版权信用分增量；基于所述节点标识与所述版权信用分增量，构建信用增加交易；向所述区块链网络广播所述信用增加交易，以使所述区块链网络中的多个业务节点对所述信用增加交易共识验证通过后，建立所述节点标识与所述版权信用分增量之间的对应关系并存入区块链。
在本说明书实施例中，所述目标作品对应的原创性表征值大于所述第一指定阈值，就说明所述目标作品的原创程度较高，这是区块链版权业务模式所鼓励的，会导致发布所述目标作品的目标业务节点对应的信用分的增加。目标业务节点对应的信用分的增加，意味着对目标业务节点对应的用户的信用评价提升。
例如，所述第一指定阈值可以是60％，若所述原创性表征值大于60％，说明所述目标作品的原创程度较高。
在本说明书实施例中，所述版权信用分增量是指需要增加的信用分的分值，其通常是一个正值。所述版权信用分减量可以随机确定，也可以根据实际业务需要确定，本领域技术人员很容易想到多种多样的方式，根据所述原创性表征值，确定版权信用分增量。优选地，所述原创性表征值可以与所述版权信用分增量正相关。
本文示例性地提供一种确定所述版权信用分增量的方式如下，本领域技术人员应当理解，这并不构成对本方案的限制。
具体地，若所述原创性表征值大于第三指定阈值，则将第二指定分值确定为版权信用分增量。其中，所述第三指定阈值大于所述第一指定阈值。此处的业务含义为，所述原创性表征值大于第一指定阈值说明目标作品的原创程度较高，而所述原创性表征值大于第三指定阈值说明目标作品的原创程度非常高，基本可以认定为原创作品。此时，将目标作品认定为原创作品，并将所述版权信用分增量确定为一个固定的分值(即第二指定分值)。可见，一件作品一旦被认定为原创作品，由该原创作品引发的版权信用分增量可以是一个固定的分值。
若所述原创性表征值不大于所述第三指定阈值，则根据所述原创性表征值，确定版权信用分增量。此时，所述原创性表征值与确定的版权信用分增量正相关，且确定的版权信用分增量小于所述第二指定分值。此处的业务含义为，所述原创性表征值虽然大于第一指定阈值，说明原创程度较高，但是没有大于第三指定阈值，说明原创程度没有特别高，不宜认定为原创作品，这种情况下，所述版权信用分增量可以小于第二指定分值，并且，所述原创性表征值越高，版权信用分增量越高。
例如，所述第一指定阈值为60％，所述第三指定阈值可以是80％，若所述目标作品对应的原创性表征值如果介于60％～80％之间，则说明所述目标作品原创程度较高，但是不宜将之认定为原创作品；若所述目标作品对应的原创性表征值如果大于80％，则说明所述目标作品原创程度非常高，可将之认定为原创作品。
更进一步地，当所述原创性表征值大于第三指定阈值时(即所述目标作品为原创作品时)，可以根据所述目标业务节点发布作品的历史表现(例如，所述目标作品已发布的作品中，原创作品的比例)，来确定所述版权信用分增量。
具体地，可以确定区块链中对应于所述目标业务节点的已发布作品的数量；若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，原创作品所占的比例，作为原创比例；若所述原创比例大于第二指定比例，则根据所述原创比例，确定奖励系数；所述奖励系数不小于1；所述原创比例与所述奖励系数正相关。
其中，所述指定数量和所述第二指定比例都可以根据实际业务需要指定。所述原创比例大于第一指定比例，意味着目标业务节点发布作品的历史表现较好，应当增加对目标业务节点的奖励，因此，确定不小于1的奖励系数，所述原创比例越高，所述奖励系数也越大。
例如，所述目标业务节点已发布至区块链的作品的数量为100，其中，原创性表征 值大于第三指定阈值的作品(即原创作品)的数量为80，则所述原创比例为80％，可以确定相应的奖励系数为1.3。又如，所述目标业务节点已发布至区块链的作品的数量为100，其中，原创性表征值大于第三指定阈值的作品(即原创作品)的数量为60，则所述原创比例为60％，可以确定相应的奖励系数为1.1。此处值得强调，结合前文，一般而言，对于原创比例和抄袭比例，在二者取相同数值的情况下，原创比例对应的奖励系数要小于抄袭比例对应的惩罚系数。
如此，即当所述原创性表征值大于第三指定阈值时，可以将第二指定分值乘以所述奖励系数，将乘以所述奖励系数后的第二指定分值确定为版权信用分增量，这就实现了增加奖励的目的。
例如，假设目标业务节点向区块链发布所述目标作品之前，已经向区块链发布了99件作品，其中有59件作品是原创作品(即原创性表征值大于第三指定阈值80％的作品)。随后，目标业务节点向区块链发布所述目标作品。确定所述目标作品对应的原创性表征值90％，大于第三指定阈值80％，说明所述目标作品可被认定为原创作品。此时，需要确定版权信用分增量。具体地，首先判断截至目前目标业务节点向区块链发布的作品数量是否达到指定数量(比如指定数量为100)，显然已经达到，随后，确定原创比例为60％，相应的奖励系数为1.1。假设第二指定分值为20分，那么所述版权信用分减量为20*1.1＝22分。
此外需要说明的是，目标业务节点对应的信用分可以通过对存入区块链的对应于所述目标业务节点的版权信用分增量和版权信用分减量进行合并计算得到。例如，区块链中对应于所述目标业务节点的版权信用分增量有3个，为20、15、10；区块链中对应于所述目标业务节点的版权信用分减量有2个，为20、14。因此，所述目标业务节点对应的信用分为：20+15+10-20-14＝11分。
此外，可以基于所述目标业务节点的节点标识、所述版权信用分增量和所述目标作品的作品标识，构建信用增加交易。然后，向所述区块链网络广播所述信用增加交易，使得所述区块链网络中的多个业务节点对所述信用增加交易共识验证通过后，建立所述节点标识、所述版权信用分增量、所述作品标识之间的对应关系并存入区块链。如此，如下信息也会被公示于区块链：所述版权信用增量是由所述目标作品导致的。
进一步地，可以基于所述目标业务节点的节点标识、所述版权信用分增量、所述目标作品的作品标识、所述原创性表征值，构建信用扣减交易。然后，向所述区块链网络广播所述信用增加交易，使得所述区块链网络中的多个业务节点对所述信用增加交易共 识验证通过后，建立所述节点标识、所述版权信用分增量、所述作品标识、所述原创性表征值之间的对应关系并存入区块链。如此，如下信息也会被公示于区块链：所述版权信用增量是由所述目标作品导致的，以及所述目标作品的原创程度。
另外，在本说明书实施例中，若所述目标作品是原创作品(原创性表征值小于第三指定阈值)，则向所述区块链网络广播所述信用增加交易之后，还可以通过监测基于目标作品产生的收益，以监测到的收益为指标，决定是否进一步增加由所述目标作品导致的版权信用分增量。具体的实施方式至少包括以下两种：
方式一：可以监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第三指定金额，则根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充增量；确定的版权信用分补充增量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
其中，所述版权信用分补充增量的含义为，针对所述版权信用分增量进行的补充，意味着版权信用分的补充增加，其实际上也是版权信用分增量，此处只是为了描述上的区分，将称描述为“补充”。所述信用补充增加交易本质上也是信用增加交易，此处也是为了描述上的区分，将之描述为“补充”。
需要说明的是，所述第三指定金额可以根据业务需要指定。若监测到的收益未达到第三指定金额，说明所述目标作品的累积收益较少，可以不进行信用分的补充增加。
举例来说，可以预设所述第三指定金额为10000元，在所述第三指定金额以上，设置3个金额区间，依次为[10000，15000)、[15000，30000)、[30000，50000]，并分别为这3个金额区间分配补充增加系数0.5、0.8、1。假设目标作品为原创作品，由目标作品导致的版权信用分增量为20分，已经被公示于区块链。若经过一段时间，基于所述目标作品产生的累积收益达到10000元，则可以针对发布所述目标作品的目标业务节点进行信用分补充增加。基于所述目标目标作品产生的收益在持续累积，当累积收益落入区间[10000，15000)，则需要针对目标业务节点补充增加的版权信用分为20*0.5＝10分，相当于，由于目标业务节点发布了所述目标作品(被认定原创)，截至目前总共被增加的信用分达到了20+10＝30分。接着，当累积收益落入区间[15000，30000)，则需要再次针对目标业务节点补充增加的版权信用分为20*0.8＝16分，相当于，由于目标业 务节点发布了所述目标作品(被认定原创)，截至目前总共被增加的信用分达到了20+10+16＝46分，随着收益的不断累积，目标业务节点因发布原创作品所被增加的版权信用分还会更多。
方式二：针对多个指定周期中每个指定周期，统计该指定周期内，所述目标作品产生的版权收益，作为该指定周期对应的版权收益；对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；若所述平均版权收益达到第四指定金额，则根据所述平均版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与所述平均版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
对于方式二，实际上根据所述目标作品在多个指定周期内的平均收益，决定是否进行信用分补充增加。
举例来说，可以预设所述第四指定金额为10000元，在所述第四指定金额以上，设置3个金额区间，依次为[10000，15000)、[15000，30000)、[30000，50000]，并分别为这3个金额区间分配补充增加系数0.3、0.5、0.8。假设目标作品为原创作品，由目标作品导致的版权信用分增量为20分，已经被公示于区块链。假设所述指定周期为1个月，可以统计目标业务节点发布所述目标作品后的10个月内，每个月基于所述目标作品产生的收益的平均值为16000元，落入金额区间[15000，30000)，相应的补充增加系数为0.5，可以针对发布所述目标作品的目标业务节点进行信用分补充增加。假设目标作品为原创作品，由目标作品导致的版权信用分增量为20分，那么具体的增加为，20*0.5＝10分。相当于，由于目标业务节点发布了所述目标作品(被认定原创)，截至目前总共被增加的信用分达到了20+10＝30分。
此外，在本说明书实施例中，当所述目标业务节点对应的版权信用分低于预设分值时，针对所述目标业务节点执行预设的业务限权操作。其中，本说明书对所述业务限权操作不作具体限定。举例来说，所述业务限权操作可以是禁止目标业务节点向区块链发布作品。
在本说明书实施例中，还可以根据所述目标业务节点对应的版权信用分，调整所述目标业务节点对应的用户的综合信用分。
具体地，可以将所述目标业务节点对应的版权信用分与所述目标业务节点向区块链发布的作品的数量相除，得到所述目标业务节点对应的修正版权信用分。然后，将所述修正版权信用分提供给综合信用评价方，以便所述综合信用评价方根据所述修正版权信用分和预设的转换规则，将所述修正版权信用分转换成综合信用参考分，并根据所述综合信用参考分，调整所述目标业务节点对应的用户的综合信用分。
其中，本发明中所述的版权信用分是衡量一个人在版权业务领域的信用水平的信用分，而所述综合信用分可以是央行信用分、芝麻信用分等衡量一个人综合信用的信用分。
举例来说，假设目标业务节点对应的版权信用分为250分，目标业务节点共发布版权作品25个，则目标业务节点对应的修正版权信用分为250/25＝10分。假设所述转换规则为，1版权信用分＝0.5综合信用分，那么，综合信用评价方可以将10分的修正版权信用分转换成5分的综合信用参考分，并据此调整目标业务节点对应的用户的综合信用分。
基于图1所示的基于区块链对作品发布者进行信用评价的方法，本说明书实施例还对应提供了一种基于区块链对作品发布者进行信用评价的系统，如图2所示，包括：多个区块链节点；
针对每个区块链节点，该区块链节点具有实现图1所示的方法的功能，和/或，参与对所述信用扣减交易的共识验证，对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链。
基于图1所示的基于区块链对作品发布者进行信用评价的方法，本说明书实施例还对应提供了一种基于区块链对作品发布者进行信用评价的装置，如图3所示，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限，所述装置包括：
原创性分析模块301，根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值；所述目标业务节点是任一业务节点；所述原创性表征值与所述目标作品的原创程度正相关；
确定模块302，若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量；
信用扣减交易构建模块303，基于所述目标业务节点的节点标识与所述版权信用 分减量，构建信用扣减交易；
信用扣减交易广播模块304，向所述区块链网络广播所述信用扣减交易，以使所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链；
其中，所述目标业务节点对应的版权信用分与对所述目标业务节点对应的用户的信用评价正相关。
所述确定模块302，若所述原创性表征值小于第二指定阈值，则将第一指定分值确定为版权信用分减量；所述第二指定阈值小于所述第一指定阈值；若所述原创性表征值不小于所述第二指定阈值，则根据所述原创性表征值，确定版权信用分减量；其中，若所述原创性表征值不小于所述第二指定阈值，则所述原创性表征值与确定的版权信用分减量负相关，且确定的版权信用分减量小于所述第一指定分值。
当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
所述装置还包括：惩罚系数确定模块305，若所述原创性表征值小于第二指定阈值，则在将第一指定分值确定为版权信用分减量之前，确定区块链中对应于所述目标业务节点的已发布作品的数量；若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，抄袭作品所占的比例，作为抄袭比例；若所述抄袭比例大于第一指定比例，则根据所述抄袭比例，确定惩罚系数；所述惩罚系数不小于1；所述抄袭比例与所述惩罚系数正相关；
所述确定模块302，将所述惩罚系数乘以第一指定分值；将乘以所述惩罚系数后的第一指定分值确定为版权信用分减量。
所述装置还包括：第一补充扣减模块306，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第一指定金额，则根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
所述装置还包括：第二补充扣减模块307，若所述原创性表征值小于第二指定阈 值，则向所述区块链网络广播所述信用扣减交易之后，针对多个指定周期中每个指定周期，统计该指定周期内，基于所述目标作品产生的版权收益，作为该指定周期对应的版权收益；对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；若所述平均版权收益达到第二指定金额，则根据所述平均版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与所述平均版权收益正相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
所述装置还包括：第三补充扣减模块308，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，监测基于所述目标作品抄袭的原创作品产生的版权收益；根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关或负相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
所述装置还包括：信用增加模块309，若所述原创性表征值大于所述第一指定阈值，则根据所述原创性表征值，确定版权信用分增量；基于所述节点标识与所述版权信用分增量，构建信用增加交易；向所述区块链网络广播所述信用增加交易，以使所述区块链网络中的多个业务节点对所述信用增加交易共识验证通过后，建立所述节点标识与所述版权信用分增量之间的对应关系并存入区块链。
所述信用增加模块309，若所述原创性表征值大于第三指定阈值，则将第二指定分值确定为版权信用分增量；所述第三指定阈值大于所述第一指定阈值；若所述原创性表征值不大于所述第三指定阈值，则根据所述原创性表征值，确定版权信用分增量；其中，若所述原创性表征值不大于所述第三指定阈值，则所述原创性表征值与确定的版权信用分增量正相关，且确定的版权信用分增量小于所述第二指定分值。
当所述原创性表征值大于第三指定阈值时，所述目标作品为原创作品；
所述信用增加模块309，若所述原创性表征值大于第三指定阈值，则在将第二指定分值确定为版权信用分增量之前，确定区块链中对应于所述目标业务节点的已发布作品的数量；若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，原创作品所占的比例，作为原创比例；若所述原创比例大于第二指定比例，则根据所述原创比例，确定奖励系数；所述奖励系数不小于1；所述原创比例与所述奖励系数正相关；以及，将所述奖励系统乘以第二指定分值；将乘以所述奖励系数后的第二指定分值确定为版权信用分增量。
所述信用增加模块309，若所述原创性表征值大于第三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第三指定金额，则根据监测到的版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
所述信用增加模块309，若所述原创性表征值大于第三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，针对多个指定周期中每个指定周期，统计该指定周期内，所述目标作品产生的版权收益，作为该指定周期对应的版权收益；对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；若所述平均版权收益达到第四指定金额，则根据所述平均版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与所述平均版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
所述装置还包括：限权模块310，当所述目标业务节点对应的版权信用分低于预设分值时，针对所述目标业务节点执行预设的业务限权操作。
所述装置还包括：调整模块311，根据所述目标业务节点对应的版权信用分，调整所述目标业务节点对应的用户的综合信用分。
所述调整模块311，将所述目标业务节点对应的版权信用分与所述目标业务节点 向区块链发布的作品的数量相除，得到所述目标业务节点对应的修正版权信用分；将所述修正版权信用分提供给综合信用评价方，以便所述综合信用评价方根据所述修正版权信用分和预设的转换规则，将所述修正版权信用分转换成综合信用参考分，并根据所述综合信用参考分，调整所述目标业务节点对应的用户的综合信用分。
本说明书实施例还提供一种计算机设备，其至少包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中，处理器执行所述程序时实现图1所述方法的功能。
图4示出了本说明书实施例所提供的一种更为具体的计算设备硬件结构示意图，该设备可以包括：处理器1010、存储器1020、输入/输出接口1030、通信接口1040和总线1050。其中处理器1010、存储器1020、输入/输出接口1030和通信接口1040通过总线1050实现彼此之间在设备内部的通信连接。
处理器1010可以采用通用的CPU(Central Processing Unit，中央处理器)、微处理器、应用专用集成电路(Application Specific Integrated Circuit，ASIC)、或者一个或多个集成电路等方式实现，用于执行相关程序，以实现本说明书实施例所提供的技术方案。
存储器1020可以采用ROM(Read Only Memory，只读存储器)、RAM(Random Access Memory，随机存取存储器)、静态存储设备，动态存储设备等形式实现。存储器1020可以存储操作系统和其他应用程序，在通过软件或者固件来实现本说明书实施例所提供的技术方案时，相关的程序代码保存在存储器1020中，并由处理器1010来调用执行。
输入/输出接口1030用于连接输入/输出模块，以实现信息输入及输出。输入输出/模块可以作为组件配置在设备中(图中未示出)，也可以外接于设备以提供相应功能。其中输入设备可以包括键盘、鼠标、触摸屏、麦克风、各类传感器等，输出设备可以包括显示器、扬声器、振动器、指示灯等。
通信接口1040用于连接通信模块(图中未示出)，以实现本设备与其他设备的通信交互。其中通信模块可以通过有线方式(例如USB、网线等)实现通信，也可以通过无线方式(例如移动网络、WIFI、蓝牙等)实现通信。
总线1050包括一通路，在设备的各个组件(例如处理器1010、存储器1020、输入/输出接口1030和通信接口1040)之间传输信息。
需要说明的是，尽管上述设备仅示出了处理器1010、存储器1020、输入/输出接口1030、通信接口1040以及总线1050，但是在具体实施过程中，该设备还可以包括实现正常运行所必需的其他组件。此外，本领域的技术人员可以理解的是，上述设备中也可以仅包含实现本说明书实施例方案所必需的组件，而不必包含图中所示的全部组件。
本说明书实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现图1所述方法的功能。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
通过以上的实施方式的描述可知，本领域的技术人员可以清楚地了解到本说明书实施例可借助软件加必需的通用硬件平台的方式来实现。基于这样的理解，本说明书实施例的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本说明书实施例各个实施例或者实施例的某些部分所述的方法。
上述实施例阐明的系统、方法、模块或单元，具体可以由计算机芯片或实体实现，或者由具有某种功能的产品来实现。一种典型的实现设备为计算机，计算机的具体形式可以是个人计算机、膝上型计算机、蜂窝电话、相机电话、智能电话、个人数字助理、媒体播放器、导航设备、电子邮件收发设备、游戏控制台、平板计算机、可穿戴设备或者这些设备中的任意几种设备的组合。
本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于装置和设备实施例而言，由于其基本相似于方法实施例，所以描述得比较简单，相关之处参见方法实施例的部分说明即可。以上所描述的方法实施例仅仅是示意性的，其中所 述作为分离部件说明的模块可以是或者也可以不是物理上分开的，在实施本说明书实施例方案时可以把各模块的功能在同一个或多个软件和/或硬件中实现。也可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
以上所述仅是本说明书实施例的具体实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本说明书实施例原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本说明书实施例的保护范围。

Claims (29)

  1. 一种基于区块链对作品发布者进行信用评价的方法，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限，所述方法包括：
    根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值；所述目标业务节点是任一业务节点；所述原创性表征值与所述目标作品的原创程度正相关；
    若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量；
    基于所述目标业务节点的节点标识与所述版权信用分减量，构建信用扣减交易；
    向所述区块链网络广播所述信用扣减交易，以使所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链；
    其中，所述目标业务节点对应的版权信用分与对所述目标业务节点对应的用户的信用评价正相关。
  2. 如权利要求1所述的方法，根据所述原创性表征值，确定版权信用分减量，具体包括：
    若所述原创性表征值小于第二指定阈值，则将第一指定分值确定为版权信用分减量；所述第二指定阈值小于所述第一指定阈值；
    若所述原创性表征值不小于所述第二指定阈值，则根据所述原创性表征值，确定版权信用分减量；
    其中，若所述原创性表征值不小于所述第二指定阈值，则所述原创性表征值与确定的版权信用分减量负相关，且确定的版权信用分减量小于所述第一指定分值。
  3. 如权利要求2所述的方法，当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
    若所述原创性表征值小于第二指定阈值，则在将第一指定分值确定为版权信用分减量之前，所述方法还包括：
    确定区块链中对应于所述目标业务节点的已发布作品的数量；
    若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，抄袭作品所占的比例，作为抄袭比例；
    若所述抄袭比例大于第一指定比例，则根据所述抄袭比例，确定惩罚系数；所述惩罚系数不小于1；所述抄袭比例与所述惩罚系数正相关；
    将第一指定分值确定为对应于所述目标业务节点的版权信用分减量，具体包括：
    将所述惩罚系数乘以第一指定分值；
    将乘以所述惩罚系数后的第一指定分值确定为版权信用分减量。
  4. 如权利要求2所述的方法，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，所述方法还包括：
    监测基于所述目标作品产生的版权收益；
    若监测到的版权收益达到第一指定金额，则根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关；
    基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；
    向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
  5. 如权利要求2所述的方法，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，所述方法还包括：
    针对多个指定周期中每个指定周期，统计该指定周期内，基于所述目标作品产生的版权收益，作为该指定周期对应的版权收益；
    对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；
    若所述平均版权收益达到第二指定金额，则根据所述平均版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与所述平均版权收益正相关；
    基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；
    向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
  6. 如权利要求2所述的方法，当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
    若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，所述方法还包括：
    监测基于所述目标作品抄袭的原创作品产生的版权收益；
    根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量； 确定的版权信用分补充减量与监测到的版权收益正相关或负相关；
    基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；
    向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
  7. 如权利要求1所述的方法，所述方法还包括：
    若所述原创性表征值大于所述第一指定阈值，则根据所述原创性表征值，确定版权信用分增量；
    基于所述节点标识与所述版权信用分增量，构建信用增加交易；
    向所述区块链网络广播所述信用增加交易，以使所述区块链网络中的多个业务节点对所述信用增加交易共识验证通过后，建立所述节点标识与所述版权信用分增量之间的对应关系并存入区块链。
  8. 如权利要求7所述的方法，根据所述原创性表征值，确定版权信用分增量，具体包括：
    若所述原创性表征值大于第三指定阈值，则将第二指定分值确定为版权信用分增量；所述第三指定阈值大于所述第一指定阈值；
    若所述原创性表征值不大于所述第三指定阈值，则根据所述原创性表征值，确定版权信用分增量；
    其中，若所述原创性表征值不大于所述第三指定阈值，则所述原创性表征值与确定的版权信用分增量正相关，且确定的版权信用分增量小于所述第二指定分值。
  9. 如权利要求8所述的方法，当所述原创性表征值大于第三指定阈值时，所述目标作品为原创作品；
    若所述原创性表征值大于第三指定阈值，则在将第二指定分值确定为版权信用分增量之前，所述方法还包括：
    确定区块链中对应于所述目标业务节点的已发布作品的数量；
    若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，原创作品所占的比例，作为原创比例；
    若所述原创比例大于第二指定比例，则根据所述原创比例，确定奖励系数；所述奖励系数不小于1；所述原创比例与所述奖励系数正相关；
    将第二指定分值确定为对应于所述目标业务节点的版权信用分增量，具体包括：
    将所述奖励系统乘以第二指定分值；
    将乘以所述奖励系数后的第二指定分值确定为版权信用分增量。
  10. 如权利要求8所述的方法，若所述原创性表征值大于第三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，所述方法还包括：
    监测基于所述目标作品产生的版权收益；
    若监测到的版权收益达到第三指定金额，则根据监测到的版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与监测到的版权收益正相关；
    基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；
    向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
  11. 如权利要求8所述的方法，若所述原创性表征值大于第三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，所述方法还包括：
    针对多个指定周期中每个指定周期，统计该指定周期内，所述目标作品产生的版权收益，作为该指定周期对应的版权收益；
    对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；
    若所述平均版权收益达到第四指定金额，则根据所述平均版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与所述平均版权收益正相关；
    基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；
    向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
  12. 如权利要求1或7所述的方法，所述方法还包括：
    当所述目标业务节点对应的版权信用分低于预设分值时，针对所述目标业务节点执行预设的业务限权操作。
  13. 如权利要求1或7所述的方法，所述方法还包括：
    根据所述目标业务节点对应的版权信用分，调整所述目标业务节点对应的用户的综合信用分。
  14. 如权利要求13所述的方法，根据所述目标业务节点对应的版权信用分，调整所述目标业务节点对应的用户的综合信用分，具体包括：
    将所述目标业务节点对应的版权信用分与所述目标业务节点向区块链发布的作品的数量相除，得到所述目标业务节点对应的修正版权信用分；
    将所述修正版权信用分提供给综合信用评价方，以便所述综合信用评价方根据所述修正版权信用分和预设的转换规则，将所述修正版权信用分转换成综合信用参考分，并根据所述综合信用参考分，调整所述目标业务节点对应的用户的综合信用分。
  15. 一种基于区块链对作品发布者进行信用评价的装置，区块链网络包括若干业务节点，针对每个业务节点，该业务节点具有向区块链发布作品的权限，所述装置包括：
    原创性分析模块，根据区块链中的已发布作品，对目标业务节点向区块链发布的目标作品进行原创性分析，得到所述目标作品对应的原创性表征值；所述目标业务节点是任一业务节点；所述原创性表征值与所述目标作品的原创程度正相关；
    确定模块，若所述原创性表征值小于第一指定阈值，则根据所述原创性表征值，确定版权信用分减量；
    信用扣减交易构建模块，基于所述目标业务节点的节点标识与所述版权信用分减量，构建信用扣减交易；
    信用扣减交易广播模块，向所述区块链网络广播所述信用扣减交易，以使所述区块链网络中的多个业务节点对所述信用扣减交易共识验证通过后，建立所述节点标识与所述版权信用分减量之间的对应关系并存入区块链；
    其中，所述目标业务节点对应的版权信用分与对所述目标业务节点对应的用户的信用评价正相关。
  16. 如权利要求15所述的装置，所述确定模块，若所述原创性表征值小于第二指定阈值，则将第一指定分值确定为版权信用分减量；所述第二指定阈值小于所述第一指定阈值；若所述原创性表征值不小于所述第二指定阈值，则根据所述原创性表征值，确定版权信用分减量；其中，若所述原创性表征值不小于所述第二指定阈值，则所述原创性表征值与确定的版权信用分减量负相关，且确定的版权信用分减量小于所述第一指定分值。
  17. 如权利要求16所述的装置，当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
    所述装置还包括：惩罚系数确定模块，若所述原创性表征值小于第二指定阈值，则在将第一指定分值确定为版权信用分减量之前，确定区块链中对应于所述目标业务节点的已发布作品的数量；若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，抄袭作品所占的比例，作为抄袭比例；若所述抄袭比例大于第一指定比 例，则根据所述抄袭比例，确定惩罚系数；所述惩罚系数不小于1；所述抄袭比例与所述惩罚系数正相关；
    所述确定模块，将所述惩罚系数乘以第一指定分值；将乘以所述惩罚系数后的第一指定分值确定为版权信用分减量。
  18. 如权利要求16所述的装置，所述装置还包括：第一补充扣减模块，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第一指定金额，则根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
  19. 如权利要求16所述的装置，所述装置还包括：第二补充扣减模块，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，针对多个指定周期中每个指定周期，统计该指定周期内，基于所述目标作品产生的版权收益，作为该指定周期对应的版权收益；对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；若所述平均版权收益达到第二指定金额，则根据所述平均版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与所述平均版权收益正相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关系并存入区块链。
  20. 如权利要求16所述的装置，当所述原创性表征值小于第二指定阈值时，所述目标作品为抄袭作品；
    所述装置还包括：第三补充扣减模块，若所述原创性表征值小于第二指定阈值，则向所述区块链网络广播所述信用扣减交易之后，监测基于所述目标作品抄袭的原创作品产生的版权收益；根据监测到的版权收益，确定对应于所述版权信用分减量的版权信用分补充减量；确定的版权信用分补充减量与监测到的版权收益正相关或负相关；基于所述节点标识与确定的版权信用分补充减量，构建信用补充扣减交易；向所述区块链网络广播所述信用补充扣减交易，以使所述区块链网络中的多个业务节点对所述信用补充扣减交易共识验证通过后，建立所述节点标识与确定的版权信用分补充减量之间的对应关 系并存入区块链。
  21. 如权利要求15所述的装置，所述装置还包括：
    信用增加模块，若所述原创性表征值大于所述第一指定阈值，则根据所述原创性表征值，确定版权信用分增量；基于所述节点标识与所述版权信用分增量，构建信用增加交易；向所述区块链网络广播所述信用增加交易，以使所述区块链网络中的多个业务节点对所述信用增加交易共识验证通过后，建立所述节点标识与所述版权信用分增量之间的对应关系并存入区块链。
  22. 如权利要求21所述的装置，所述信用增加模块，若所述原创性表征值大于第三指定阈值，则将第二指定分值确定为版权信用分增量；所述第三指定阈值大于所述第一指定阈值；若所述原创性表征值不大于所述第三指定阈值，则根据所述原创性表征值，确定版权信用分增量；其中，若所述原创性表征值不大于所述第三指定阈值，则所述原创性表征值与确定的版权信用分增量正相关，且确定的版权信用分增量小于所述第二指定分值。
  23. 如权利要求22所述的装置，当所述原创性表征值大于第三指定阈值时，所述目标作品为原创作品；
    所述信用增加模块，若所述原创性表征值大于第三指定阈值，则在将第二指定分值确定为版权信用分增量之前，确定区块链中对应于所述目标业务节点的已发布作品的数量；若所述数量达到指定数量，则确定所述目标业务节点已发布于区块链的作品中，原创作品所占的比例，作为原创比例；若所述原创比例大于第二指定比例，则根据所述原创比例，确定奖励系数；所述奖励系数不小于1；所述原创比例与所述奖励系数正相关；以及，将所述奖励系统乘以第二指定分值；将乘以所述奖励系数后的第二指定分值确定为版权信用分增量。
  24. 如权利要求22所述的装置，所述信用增加模块，若所述原创性表征值大于第三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，监测基于所述目标作品产生的版权收益；若监测到的版权收益达到第三指定金额，则根据监测到的版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与监测到的版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
  25. 如权利要求22所述的装置，所述信用增加模块，若所述原创性表征值大于第 三指定阈值，则在向所述区块链网络广播所述信用增加交易之后，针对多个指定周期中每个指定周期，统计该指定周期内，所述目标作品产生的版权收益，作为该指定周期对应的版权收益；对所述多个指定周期分别对应的版权收益求平均值，得到平均版权收益；若所述平均版权收益达到第四指定金额，则根据所述平均版权收益，确定对应于所述版权信用分增量的版权信用分补充增量；确定的版权信用分补充增量与所述平均版权收益正相关；基于所述节点标识与确定的版权信用分补充增量，构建信用补充增加交易；向所述区块链网络广播所述信用补充增加交易，以使所述区块链网络中的多个业务节点对所述信用补充增加交易共识验证通过后，建立所述节点标识与确定的版权信用分补充增量之间的对应关系并存入区块链。
  26. 如权利要求15或21所述的装置，所述装置还包括：
    限权模块，当所述目标业务节点对应的版权信用分低于预设分值时，针对所述目标业务节点执行预设的业务限权操作。
  27. 如权利要求15或21所述的装置，所述装置还包括：
    调整模块，根据所述目标业务节点对应的版权信用分，调整所述目标业务节点对应的用户的综合信用分。
  28. 如权利要求27所述的装置，所述调整模块，将所述目标业务节点对应的版权信用分与所述目标业务节点向区块链发布的作品的数量相除，得到所述目标业务节点对应的修正版权信用分；将所述修正版权信用分提供给综合信用评价方，以便所述综合信用评价方根据所述修正版权信用分和预设的转换规则，将所述修正版权信用分转换成综合信用参考分，并根据所述综合信用参考分，调整所述目标业务节点对应的用户的综合信用分。
  29. 一种计算机设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，其中，所述处理器执行所述程序时实现如权利要求1～14任一项所述的方法。
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