CN111339190B - Knowledge point identification method and system based on block chain - Google Patents

Knowledge point identification method and system based on block chain Download PDF

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CN111339190B
CN111339190B CN202010106710.8A CN202010106710A CN111339190B CN 111339190 B CN111339190 B CN 111339190B CN 202010106710 A CN202010106710 A CN 202010106710A CN 111339190 B CN111339190 B CN 111339190B
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黄伟兰
梁循
王明明
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Renmin University of China
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Abstract

The application relates to a knowledge point identification method and a knowledge point identification system based on a block chain, which comprise the following steps: s1, establishing a blockchain, wherein the blockchain comprises a main chain and a plurality of branched chains connected with the main chain; s2, establishing a common node cluster of each branched chain, and uploading paper results through each common node in the common node cluster; s3, auditing paper results, and carrying out consensus authentication on the paper results meeting the requirements on a branched chain; s4, generating a new block through the paper result of the consensus authentication on the branched chain, updating the block, and synchronously updating the recommended information account book; s5, pushing paper achievements meeting recommendation conditions in the recommendation information account book to a main chain, and performing consensus authentication on the main chain; s6, generating a new block through the paper result of the consensus authentication on the main chain, broadcasting in the whole network, and updating the block. The method improves network security, prevents paper results from being tampered, and enables the paper results to be traced back to paper providers with high quality and paper providers with poor quality more quickly and accurately so as to improve the quality of the network paper.

Description

Knowledge point identification method and system based on block chain
Technical Field
The application relates to a knowledge point identification method and system based on a block chain, and belongs to the technical field of block chains.
Background
In the development process of a mathematical system, mathematical knowledge and theoretical proof are proposed, deduced and established by mathematicians step by step, but mathematical theoretical knowledge is numerous, the proof process is complex, and many mathematicians experience long-term calculation proof to obtain a result which can be found or proven by other people. The mathematical knowledge innovation results can be published almost only through professional journals, and the mathematical knowledge innovation results are unfavorable for the communication of mathematical scientists due to high professionality and long auditing period. To avoid the above problems, the arXiv website uploads the pre-printed version to the website in advance to announce the study result of the math in advance. However, the arXiv website is a centralized online database, and once it is subjected to destructive attacks, the paper results in the database are likely to be irretrievable. And with the rapid increase of the number of pre-printed papers released on websites in recent years, the papers have good quality and uneven quality, and the papers are plagiated or only modified very little. However, there are a large number of formulas in the paper in the mathematical field, and the existing duplication checking software only aims at the duplication of the text part, and it is difficult or impossible to find the duplicated formulas.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide a mathematical innovation knowledge point identification method and system based on a blockchain, which adopt a decentralised blockchain, thereby improving network security, ensuring paper achievement not to be tampered, and being capable of tracing high-quality papers and low-quality paper providers quickly and accurately so as to improve the quality of the network papers.
In order to achieve the above object, the present application provides a knowledge point identification method based on a blockchain, comprising the following steps: s1, establishing a blockchain, wherein the blockchain comprises a main chain and a plurality of branched chains connected with the main chain; s2, establishing a common node cluster of each branched chain, and uploading paper results through each common node in the common node cluster; s3, auditing paper results, and carrying out consensus authentication on the paper results meeting the requirements on a branched chain; s4, generating a new block from paper results passing through consensus authentication on the branched chain, updating the block, and synchronously updating the recommended information account book; s5, pushing paper achievements meeting recommendation conditions in the recommended information account book to a main chain, and performing consensus authentication on the main chain; s6, generating a new block through the paper result of the consensus authentication on the main chain, broadcasting in the whole network, and updating the block.
Further, the main chain comprises a plurality of alliance nodes and authentication nodes which are arranged in parallel, and the alliance nodes are used for generating and maintaining information on the main chain; the authentication node is used for authenticating the authority of the common node to access the main chain information, so that the common node can access the information on the main chain, but cannot participate in the generation and the consensus authentication of the main chain information.
Further, the branches include a plurality of common nodes, the common nodes are used for generating and maintaining information on each branch, and the common nodes can participate in the generation and consensus authentication of one or more pieces of branch information.
Further, the information in the main chain corresponds to the basic of a certain academic or technical field and the knowledge points which are agreed; the branches are divided according to branches in the academic or technical field, and information on the branches corresponds to the latest research results in each branch field.
Further, step S4 includes a contribution incentive mechanism, in which common nodes in corresponding branches except common nodes providing paper results participate in consensus authentication, if the paper results pass the consensus, a contribution value of 1/N is increased for common nodes participating in the consensus authentication by intelligently closing in a recommended information ledger, and N is the number of common nodes participating in the consensus at this time; in step S5, the recommended condition of the recommended information ledger includes a contribution value of a common node, a thesis achievement quotation rate, and a common node number participating in thesis achievement consensus authentication.
Furthermore, the consensus authentication in the main chain and the branched chain is realized by adopting a practical Bayesian fault-tolerant algorithm.
In step S3, the paper results are checked and verified, wherein screening and review are carried out, the paper results are confirmed to pass the checking only when the paper results pass the screening and review and the paper results pass the checking, and if the paper results do not pass the checking, the contribution value of the common node uploading the paper results is reduced through the intelligent contract; screening and auditing comprises screening and judging whether paper results uploaded through common nodes belong to the field branches corresponding to the branches and whether sensitive words exist or not by utilizing intelligent contracts.
Further, checking and rechecking the information which is quoted by the non-checking and rechecking operator and the knowledge points which are commonly recognized and passed on the blockchain, comparing other knowledge points in the paper with the existing blockinformation in the blockchain, and if the matching is successful, the knowledge points are already proposed; if no matching result exists, checking and rechecking are carried out.
Further, in the review process, formulas in the paper results are compared with the existing block information in the block chain through two forms of structure and semantic description.
The application also discloses a knowledge point identification system based on the block chain, which is realized by any method, comprising the following steps: the data input module is used for establishing a common node cluster of each branched chain and uploading paper results through each common node in the common node cluster; the screening module is used for auditing paper results and carrying out consensus authentication on the paper results meeting the requirements on a branched chain; the branched chain data recording module is used for generating a new block from paper results passing through branched chain consensus authentication, updating the block and synchronously updating the recommended information account book; the recommending module is used for pushing paper achievements meeting recommending conditions in the recommending information account book to the main chain and carrying out consensus authentication on the main chain; and the main chain data recording module generates a new block from paper results authenticated by the common identification on the main chain, broadcasts the new block on the whole network and updates the new block.
Due to the adoption of the technical scheme, the application has the following advantages:
1. the application adopts the decentralised blockchain, thereby improving the network security, ensuring that the paper results are not tampered, and tracing the paper with high quality and the paper provider with poor quality faster and more accurately so as to improve the quality of the network paper.
2. According to the application, the branched chain is introduced into the blockchain platform to describe the development of innovative knowledge points in a single field in detail, and the number of the consensus cognition of the main chain is reduced and the expandability of the main chain is enhanced by checking and authenticating the branched chain.
3. The common node can know the authoritative certification paper achievement and cannot damage the main chain structure, the common node can participate in the consensus certification of a plurality of branched chains, the flexibility is high, the common node of the branched chains can actively participate in the consensus in order to increase the contribution value, and each common node can know the progress of one theorem or research direction demonstration, so that the repeated work is avoided.
4. According to the application, the screening and duplicate checking module is arranged through the intelligent contract, and aiming at the formula in the paper, the formula is described by using the description and the structural information, so that whether the proposed knowledge point is presented for the first time can be rapidly identified by the branched chain.
Drawings
FIG. 1 is a schematic flow chart of a general node uploading research result to a branched chain in a knowledge point identification method based on a blockchain according to an embodiment of the application;
FIG. 2 is a process diagram of pushing branched blockinformation to a backbone in a blockchain-based knowledge point identification method in accordance with an embodiment of the present application.
Detailed Description
The present application will be described in detail with reference to specific examples thereof in order to better understand the technical direction of the present application by those skilled in the art. It should be understood, however, that the detailed description is presented only to provide a better understanding of the application, and should not be taken to limit the application. In the description of the present application, it is to be understood that the terminology used is for the purpose of description only and is not to be interpreted as indicating or implying relative importance.
Example 1
The embodiment discloses a knowledge point identification method based on a block chain, which comprises the following steps as shown in fig. 1 and 2:
s1, establishing a blockchain, wherein the blockchain comprises a main chain and a plurality of branched chains connected with the main chain;
s2, establishing a common node cluster of each branched chain, and uploading paper results through each common node in the common node cluster;
s3, auditing paper results, and carrying out consensus authentication on the paper results meeting the requirements on a branched chain;
s4, generating a new block from paper results passing through consensus authentication on the branched chain, updating the block, and synchronously updating the recommended information account book;
s5, pushing paper achievements meeting recommendation conditions in the recommended information account book to a main chain, and performing consensus authentication on the main chain;
s6, generating a new block through the paper result of the consensus authentication on the main chain, broadcasting in the whole network, and updating the block. The method adopts the decentralised blockchain, thereby improving the network security, ensuring that paper results are not tampered, and tracing the paper with high quality and the paper provider with poor quality faster and more accurately so as to improve the quality of the network paper.
Wherein, the information of the main chain corresponds to the basic and agreed knowledge points of a certain academic or technical field; the branches are divided according to branches in the academic or technical field, and information on the branches corresponds to the latest research results in each branch field. The main chain information only comprises characteristic summary information, and the information in each branched chain comprises characteristic summary information and detailed information of papers corresponding to the latest research results. Thus, the user can grasp the overall situation of a certain academic field or technical field by acquiring the information on the main chain, and acquire the basic authoritative authentication knowledge of the academic field or technical field, and the latest research dynamics of the branch field can be obtained through the branched chain information. The number of branches varies from field to field. For example, in the mathematical field, since the field has many branches, 130 branches can be provided.
The main chain comprises a plurality of alliance nodes and authentication nodes which are arranged in parallel, wherein the alliance nodes are used for generating and maintaining information on the main chain, the alliance nodes are correspondingly provided with alliance members, and the alliance members are preferably experts, professors or authoritative institutions with certain influence in the academic field or technical field. Taking the mathematical field as an example, the backbone alliance members may be composed of a national college of university mathematics and a research organization of mathematics. The authentication node is used for authenticating the authority of the common node to access the main chain information, so that the common node can access the information on the main chain, but cannot participate in the generation and the consensus authentication of the main chain information. That is, the common node on the branched chain applies for registration qualification to the alliance authentication node, and the authentication node grants the node permission through application after checking the identity of the common node. The authentication node can select the alliance member to authenticate the common node, and can also select a qualified third party to verify. The branched chain comprises a plurality of common nodes, the common nodes are used for generating and maintaining information on each branched chain, any person or team desiring to release paper results can register as a common node, wherein the common node can participate in the generation and consensus authentication of one or more pieces of branched chain information, namely, the common node can acquire information of a plurality of branches in the academic or technical field and participate in the consensus authentication of the plurality of branches. The setting mode can lead the paper result contribution value to refer to the research results of each branch, the public is long, and the repetitive work caused by the unaware of the branch can be avoided. The consensus authentication in the main chain and the branched chain is realized by adopting a practical Bayesian fault-tolerant algorithm.
In step S3, the auditing of the paper results includes screening and review, and only if the paper results pass the screening auditing and review at the same time, the paper results are confirmed to pass the auditing, and if the paper results do not pass the auditing, the contribution value of the common node uploading the paper results is reduced through the intelligent contract.
Screening and auditing comprises screening and judging whether paper results uploaded through common nodes belong to the field branches corresponding to the branches and whether sensitive words exist or not by utilizing intelligent contracts. Preferably, whether the paper result belongs to the branch of the academic or technical field corresponding to the branched chain is judged through the keyword of the paper, if the paper result does not correspond to the branch, screening is not passed, in addition, when the field screening is carried out, if the screening result is not passed, the screening result is fed back, and the suggestion can be carried out on the field branch possibly belonging to the paper result. In addition, the field screening can also be carried out according to the thesis topic or thesis abstract or the combination of topic abstract keywords. Screening of sensitive words is generally carried out in a full text searching mode, and for articles which do not pass through screening, the sensitive words are preferably marked and fed back to an article provider to suggest that the sensitive words are deleted.
Checking and rechecking information which is not referred by a reckoner and knowledge points which are commonly recognized and passed on a blockchain, comparing other knowledge points in the paper with the existing blockinformation in the blockchain, and if the matching is successful, the knowledge points are already proposed; if no matching result exists, checking and rechecking are carried out. In the process of checking and rechecking, formulas in paper results are compared with existing block information in a block chain through two forms of structure and semantic description. In addition, the checking and rechecking is carried out in a full text comparison mode.
And in the step S4, recommending information accounts for recording whether all paper achievements on the branched chain pass the examination. For the paper results passing the examination, the block identification of the new block formed by the paper results, the quoted number of the paper results, the number of common nodes participating in the consensus authentication of the paper results and the contribution value of the common nodes are recorded. Triggering the intelligent contract to submit the corresponding paper results to the main chain after the branched paper results reach the recommended condition, wherein the influence indexes of the recommended condition comprise the quoted number of the paper results, the number of common nodes participating in the consensus authentication of the paper results and the contribution value of the common nodes. And if the number of cited paper results, the number of common nodes participating in consensus authentication of the paper results and the score of the contribution value of the common nodes are accumulated to reach a preset value, submitting the paper results to a main chain through the block mark corresponding to the paper results registered in the recommended information account. It should be noted that, for different academies and technical fields, the set recommended conditions may be different, that is, the number of cited paper results, the number of common nodes participating in the consensus authentication of the paper results, and the preset value of the score of the contribution value of the common nodes may be determined according to the situations of each field. In addition, the recommended conditions in the branches corresponding to the branches in the field are not identical, and the specific recommended condition of each branch should be set in combination with the characteristics of the branch itself, so that the recommended conditions cannot be generalized. The recommended conditions of the branches can also be obtained through a corresponding intelligent recommendation algorithm. Taking the mathematical field as an example, the recommendation algorithms of different branches in the mathematical field are different, the number of the applied mathematical class to be referred is reinforced by importance, and the theoretical mathematical consensus is reinforced by the node number to the importance. Specific algorithms require common node voting negotiation determinations in various fields.
After the recommending information account book pushes the paper results to the main chain, the main chain needs to carry out consensus authentication on the paper results, the consensus authentication of the main chain is completed by alliance nodes in the main chain, and if the paper results pass the consensus authentication, the recommending information account book is used for recording the research results and does not carry out recommendation any more; if the paper result does not pass the consensus authentication, the paper result does not meet the intelligent contract recommendation condition at present, the paper result is returned to the recommendation information ledger, and if the parameters such as the quoted number of the research result reach the recommendation condition again, the paper result can be pushed to the main chain again.
In step S4, the paper achievement generates a new block, and the block update specifically includes the following steps: for a branched chain, after the paper achievements on the branched chain pass through consensus authentication, a new block is generated, main knowledge points, proof or deduction processes and main conclusions in the paper are recorded in the new block, all the paper achievements which pass through the consensus authentication and are obtained on the branched chain in a certain preset time period are recorded, the paper achievements are time-stamped, a common node in the branched chain broadcasts the newly generated block to the whole range of the branched chain, other common nodes which do not participate in the consensus authentication at this time are updated, and the newly generated block is added. And updating the recommended information account book through the intelligent contract, and registering and updating the block mark to which the paper achievement belongs. The contribution force value of the common nodes participating in the consensus authentication is recorded and updated through the intelligent contract. The contribution force value of each common node is obtained through a contribution incentive mechanism. The contribution incentive mechanism specifically comprises the following contents: if the paper results pass the consensus, a contribution value of 1/N is increased for the common nodes participating in the consensus authentication through intelligent closing in a recommended information account book, and N is the number of the common nodes participating in the consensus at this time; in step S5, the recommended condition of the recommended information ledger includes a contribution value of a common node, a thesis achievement quotation rate, and a common node number participating in thesis achievement consensus authentication. The more common nodes participate in a certain common authentication, the smaller the contribution force value obtained by a certain common node in the common authentication, the more times that a certain common node participates in the common authentication, the larger the contribution force value. And for the main chain, after the paper achievements on the main chain pass the consensus authentication, generating a new block, recording the paper achievements submitted by all branches in the time from the new block to the new block, and obtaining the consensus authentication, and time stamping the paper achievements, wherein alliance nodes in the main chain broadcast the newly generated block to the whole network of the branches, and other alliance nodes which do not participate in the consensus authentication at this time update the block and add the newly generated block. While all common nodes in the entire blockchain may also access information within the newly generated block.
Example two
Based on the same inventive concept as the first embodiment, the present embodiment provides a knowledge point identification system based on a blockchain, including:
the data input module is used for establishing a common node cluster of each branched chain and uploading paper results through each common node in the common node cluster;
the screening module is used for auditing paper results and carrying out consensus authentication on the paper results meeting the requirements on a branched chain;
the branched chain data recording module is used for generating a new block from paper results passing through branched chain consensus authentication, updating the block and synchronously updating the recommended information account book;
the recommending module is used for pushing paper achievements meeting recommending conditions in the recommending information account book to the main chain and carrying out consensus authentication on the main chain;
and the main chain data recording module generates a new block from paper results authenticated by the common identification on the main chain, broadcasts the new block on the whole network and updates the new block.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily appreciate variations or alternatives within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims (8)

1. The knowledge point identification method based on the block chain is characterized by comprising the following steps of:
s1, establishing a blockchain, wherein the blockchain comprises a main chain and a plurality of branched chains connected with the main chain;
s2, establishing a common node cluster of each branched chain, and uploading paper results through each common node in the common node cluster;
s3, auditing the paper results, and carrying out consensus authentication on the branched chain on the paper results meeting the requirements;
s4, generating a new block from the paper results of the consensus authentication uploaded by the branched chain, updating the block, and synchronously updating the recommended information account book;
s5, pushing paper achievements meeting recommendation conditions in the recommendation information account book to a main chain, and performing consensus authentication on the main chain;
s6, generating a new block through the paper result of the consensus authentication on the main chain, broadcasting in the whole network, and updating the block;
in the step S3, auditing the paper results includes screening and checking, and only if the paper results pass screening auditing and checking at the same time, the paper results are confirmed to pass auditing, and if the paper results do not pass auditing, the contribution value of the common node uploading the paper results is reduced through an intelligent contract; the screening and auditing comprises the steps of screening and judging whether paper results uploaded through a common node belong to a field branch corresponding to the branched chain or not by utilizing an intelligent contract;
the check and review of the information which is quoted by the non-check and review worker and the knowledge points which are commonly recognized and passed on the blockchain compare other knowledge points in the paper with the existing blockinformation in the blockchain, and if the matching is successful, the knowledge points are already proposed; if no matching result exists, checking and rechecking are carried out.
2. The blockchain-based knowledge point identification method of claim 1, wherein the main chain comprises a plurality of alliance nodes and authentication nodes which are arranged in parallel, wherein the alliance nodes are used for generating and maintaining information on the main chain; the authentication node is used for authenticating the authority of the common node to access the main chain information, so that the common node can access the information on the main chain, but cannot participate in the generation of the main chain information and the consensus authentication.
3. The blockchain-based knowledge point identification method of claim 2, wherein the branches include a number of common nodes for generating and maintaining information on each branch, wherein the common nodes are capable of participating in the generation and consensus authentication of one or more pieces of branch information.
4. A blockchain-based knowledge point identification method according to any of claims 1-3, characterized in that the information in the backbone corresponds to a knowledge point of a basic, agreed upon academic or technical field; the branches are divided according to branches of the academic or technical field, and information on the branches corresponds to the latest research results of each branch field.
5. The blockchain-based knowledge point identification method according to claim 4, wherein the step S4 includes a contribution incentive mechanism, wherein the common nodes in the corresponding branches except the common nodes providing paper results participate in consensus authentication, if the paper results pass the consensus, a contribution value of 1/N is increased for the common nodes participating in the consensus authentication by intelligently closing in a recommended information ledger, and N is the number of the common nodes participating in the consensus at this time; in step S5, the recommended condition of the recommended information ledger includes a contribution value of a common node, a paper achievement quotation rate and a common node number participating in the paper achievement consensus authentication.
6. The blockchain-based knowledge point identification method of claim 4, wherein the consensus authentication in the main chain and the branched chain is implemented by a practical bayer fault-tolerant algorithm.
7. The blockchain-based knowledge point identification method of claim 1, wherein formulas in the paper result are compared with existing blockinformation in the blockchain through two forms of structure and semantic description in the review process.
8. A blockchain-based knowledge point identification system, comprising:
the data input module is used for establishing a common node cluster of each branched chain, and uploading paper results through each common node in the common node cluster;
the screening module is used for auditing the paper results and carrying out consensus authentication on the branched chain on the paper results meeting the requirements;
the branched chain data recording module is used for generating a new block from the paper results authenticated by the consensus uploaded by the branched chain, updating the block and synchronously updating the recommended information account book;
the recommending module is used for pushing paper achievements meeting recommending conditions in the recommending information account book to a main chain and carrying out consensus authentication on the main chain;
the main chain data recording module generates a new block from the paper results passing through the consensus authentication on the main chain, broadcasts the new block on the whole network and updates the new block;
in the branched-chain data recording module, the examination and review of the paper results comprise screening and review, the paper results are confirmed to pass the examination and review only when the paper results pass the screening examination and review and the paper results pass the examination and review, and if the paper results do not pass the examination, the contribution force value of the common node uploading the paper results is reduced through an intelligent contract; the screening and auditing comprises the steps of screening and judging whether paper results uploaded through a common node belong to a field branch corresponding to the branched chain or not by utilizing an intelligent contract;
the check and review of the information which is quoted by the non-check and review worker and the knowledge points which are commonly recognized and passed on the blockchain compare other knowledge points in the paper with the existing blockinformation in the blockchain, and if the matching is successful, the knowledge points are already proposed; if no matching result exists, checking and rechecking are carried out.
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